CN108922224B

CN108922224B - Position prompting method and related product

Info

Publication number: CN108922224B
Application number: CN201810577086.2A
Authority: CN
Inventors: 张海平
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2018-06-06
Filing date: 2018-06-06
Publication date: 2021-07-30
Anticipated expiration: 2038-06-06
Also published as: CN108922224A

Abstract

The embodiment of the application discloses a position prompting method and a related product, which are applied to wearable equipment, wherein the wearable equipment is worn on the head of a user, and the method comprises the following steps: acquiring a travel route of the wearable device; determining a target stop station corresponding to the travel route; and when the wearable equipment reaches the target docking station, carrying out arrival prompt. By the aid of the method and the device, prompt can be given when the target stop station is reached, and user experience is improved.

Description

Position prompting method and related product

Technical Field

The application relates to the technical field of electronic equipment, and mainly relates to a position prompting method and a related product.

Background

With the rapid popularization of electronic equipment (such as mobile phones, tablet computers and the like), the wearable equipment in wireless connection with the electronic equipment assists in using functions of news reading, text reading, mail receiving and sending, social chat, video appreciation, game operation and the like, so that the operation convenience of the electronic equipment is improved.

Disclosure of Invention

The embodiment of the application provides a position prompting method and a related product, which can prompt when a target stop station is reached, and improve user experience.

In a first aspect, an embodiment of the present application provides a position prompting method, which is applied to a wearable device, where the wearable device is worn on a head of a user, where:

acquiring a travel route of the wearable device;

determining a target stop station corresponding to the travel route;

and when the wearable equipment reaches the target docking station, carrying out arrival prompt.

In a second aspect, embodiments of the present application provide a wearable device to be worn on a head of a user, the wearable device comprising storage and processing circuitry, and a sensor and audio component connected to the storage and processing circuitry, wherein:

the sensor is used for acquiring a travel route of the wearable device;

the storage and processing circuit is used for determining a target stop station corresponding to the travel route;

the audio component is used for prompting arrival when the wearable device arrives at the target docking station.

In a third aspect, an embodiment of the present application provides a position prompting apparatus, which is applied to a wearable device, where the wearable device is worn on a head of a user, where:

an acquisition unit configured to acquire a travel route of the wearable device;

the determining unit is used for determining a target stop station corresponding to the travel route;

and the prompting unit is used for prompting arrival when the wearable equipment arrives at the target parking station.

In a fourth aspect, embodiments of the present application provide a wearable device, comprising a processor, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for some or all of the steps as described in the first aspect.

In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, where the computer program makes a computer perform part or all of the steps as described in the first aspect of the present application.

In a sixth aspect, embodiments of the present application provide a computer program product, where the computer program product comprises a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.

The embodiment of the application has the following beneficial effects:

after the position prompting method and the related products are adopted, the travel route of the wearable device is obtained, the target stop station corresponding to the travel route is determined, and arrival prompting is carried out when the wearable device arrives at the target stop station. Therefore, when the user takes public transportation and wears the wearable device, if the user arrives at the target stop station to prompt the user to arrive, the user experience is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Wherein:

fig. 1 is a schematic structural diagram of a wearable device provided in an embodiment of the present application;

fig. 2 is a schematic flowchart of a position prompting method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of another position indication method according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a position indication device according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of another wearable device provided in the embodiment of the present application.

Detailed Description

In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The following are detailed below.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The wearable device may include at least one of: wireless earphones, brain wave acquisition devices, Augmented Reality (AR)/Virtual Reality (VR) devices, smart glasses, and the like, wherein the wireless earphones may implement communication by: wireless fidelity (Wi-Fi) technology, bluetooth technology, visible light communication technology, invisible light communication technology (infrared communication technology, ultraviolet communication technology), and the like. In the embodiment of the present application, a wireless headset is taken as an example, and the wireless headset includes a left earplug and a right earplug, where the left earplug can be taken as an independent component, and the right earplug can also be taken as an independent component.

Optionally, the wireless headset may be an ear-hook headset, an ear-plug headset, or a headset, which is not limited in the embodiments of the present application.

The wireless headset may be housed in a headset case, which may include: two receiving cavities (a first receiving cavity and a second receiving cavity) sized and shaped to receive a pair of wireless headsets (a left earbud and a right earbud); one or more earphone housing magnetic components disposed within the case for magnetically attracting and respectively magnetically securing a pair of wireless earphones into the two receiving cavities. The earphone box may further include an earphone cover. Wherein the first receiving cavity is sized and shaped to receive a first wireless headset and the second receiving cavity is sized and shaped to receive a second wireless headset.

The wireless headset may include a headset housing, a rechargeable battery (e.g., a lithium battery) disposed within the headset housing, a plurality of metal contacts for connecting the battery to a charging device, the driver unit including a magnet, a voice coil, and a diaphragm, the driver unit for emitting sound from a directional sound port, and a speaker assembly including a directional sound port, the plurality of metal contacts disposed on an exterior surface of the headset housing.

In one possible implementation, the wireless headset may further include a touch area, which may be located on an outer surface of the headset housing, and at least one touch sensor is disposed in the touch area for detecting a touch operation, and the touch sensor may include a capacitive sensor. When a user touches the touch area, the at least one capacitive sensor may detect a change in self-capacitance to recognize a touch operation.

In one possible implementation, the wireless headset may further include an acceleration sensor and a triaxial gyroscope, the acceleration sensor and the triaxial gyroscope may be disposed within the headset housing, and the acceleration sensor and the triaxial gyroscope are used to identify a picking up action and a taking down action of the wireless headset.

In a possible implementation manner, the wireless headset may further include at least one air pressure sensor, and the air pressure sensor may be disposed on a surface of the headset housing and configured to detect air pressure in the ear after the wireless headset is worn. The wearing tightness of the wireless earphone can be detected through the air pressure sensor. When it is detected that the wireless earphone is worn loosely, the wireless earphone can send prompt information to an electronic device connected with the wireless earphone so as to prompt a user that the wireless earphone has a risk of falling.

The following describes embodiments of the present application in detail.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a wearable device disclosed in an embodiment of the present application, a wearable device 100 includes a storage and processing circuit 110, and an input/output circuit 150 connected to the storage and processing circuit 110, where the input/output circuit 150 includes a sensor 170, a touch display screen 130, an audio component 140, a communication circuit 120, and an input/output unit 160.

The wearable device 100 may include control circuitry, which may include storage and processing circuitry 110. The storage and processing circuitry 110 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. The processing circuitry in the storage and processing circuitry 110 may be used to control the operation of the wearable device 100. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.

The storage and processing circuitry 110 may be used to run software in the wearable device 100, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) phone call application, an email application, a media playing application, operating system functions, and so forth. Such software may be used to perform control operations such as camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on touch sensors, functionality associated with displaying information on multiple (e.g., layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in wearable device 100, to name a few, embodiments of the present application are not limited.

The wearable device 100 may also include input-output circuitry 150. The input-output circuitry 150 may be used to enable the wearable device 100 to enable input and output of data, i.e., to allow the wearable device 100 to receive data from an external device and also to allow the wearable device 100 to output data from the wearable device 100 to an external device.

The input/output circuit 150 may further include a sensor 170, the sensor 170 may include a positioning module and a brain wave sensor, and may further include a bone sensor for collecting a user's voice signal and a respiration signal, an ambient light sensor, a proximity sensor based on light and capacitance, a touch sensor (e.g., a touch sensor based on light and/or capacitance, wherein the touch sensor may be a part of a touch display screen, or may be used independently as a touch sensor structure), an acceleration sensor, a gravity sensor, and other sensors, and the like, which are not limited herein.

The positioning module is used for determining location information of the wearable device 100, and may include a Global Positioning System (GPS) module or a base station positioning module, that is, a mobile location service provided by a base station corresponding to an electronic device connected to the wearable device 100; a Wi-Fi location module may also be included that determines its location through a wireless network with the electronic device or with the wearable device 100.

The electroencephalogram (EEG) is a physiological index record formed by summing up postsynaptic potentials generated synchronously by a large number of neurons during brain activity, records the change of electrical waves during brain activity, and is a general reflection of electrophysiological activity of brain neurons on the surface of the cerebral cortex or scalp.

The human brain can generate own brain waves when in rest, work or entertainment, the frequency variation range of the brain waves is usually between 0.1Hz and 30Hz, and the brain waves can be divided into four wave bands, namely delta waves (1 to 4Hz), theta waves (4 to 8Hz), alpha waves (8 to 13Hz) and beta waves (13 to 30 Hz). The 4 waves can be further divided, for example: beta waves include low-beta waves (13-15 Hz), midrange waves (15-20 Hz) and high-beta waves (20-30 Hz). The 4 waves have close relationship with various physiological and psychological activities of human, such as: delta waves are a depth-wise, stress-free, subconscious state; theta wave is a mental state of deep sleep, non-rapid eye movement sleep and unconsciousness; beta wave is mental state of tension, pressure and brain fatigue; alpha wave is a relaxed but not listened, quiet, conscious mental state, and is the best state for learning and thinking. In addition, when the user is awake and focuses on a certain fact, a gamma wave with a frequency higher than that of a beta wave is often seen, the frequency is 30-80 Hz, and the amplitude range is indefinite; while other normal brain waves with special waveforms, such as camel peak waves, sigma waves, lambda waves, kappa-complex waves, mu waves, etc., can also appear during sleep.

It is understood that the physiological and psychological activities of the user can be determined according to the brain wave signals, thereby determining the fatigue degree and the state corresponding to the fatigue degree. Wherein the state may include at least one of: the sleep process of each period can be divided into the three sleep stages from shallow to deep. Sleep states are described as any distinguishable sleep or wakefulness that represents a behavioral, physical, or signal characteristic.

Wherein the falling asleep state begins with the drowsiness and gradually falls asleep without maintaining the wakefulness. At this time, the breathing becomes slow, the muscle tension is reduced, the body is slightly relaxed, and at the moment, the sleeping person belongs to an initial sleeping state, and is easy to be awakened by external sound or touch; light sleep stage, or light sleep stage. The sleep of the stage belongs to a light sleep state or a mild to moderate sleep state, a sleeper is not easy to be awakened, the muscles are further relaxed at the moment, and the electroencephalogram shows fusiform sleep waves; in the deep sleep state, the sleeper enters the deep sleep state, the muscle tension disappears, the muscles are fully relaxed, the sensory function is further reduced, and the sleeper is not easy to be awakened.

Input-output circuitry 150 may also include one or more displays, such as display 130. Display 130 may include one or a combination of liquid crystal displays, organic light emitting diode displays, electronic ink displays, plasma displays, displays using other display technologies. Display 130 may include an array of touch sensors (i.e., display 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.

The audio component 140 may be used to provide audio input and output functionality for the wearable device 100. The audio components 140 in the wearable device 100 may include speakers, microphones, buzzers, tone generators and other components for generating and detecting sounds, and may also include vibration modules, such as: a motor, etc. That is, the audio component 140 may also be used to prompt the user for various notification messages or prompt messages by playing audio or vibration, thereby enhancing the user experience.

The communication circuit 120 may be used to provide the wearable device 100 with the ability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless communication circuitry in communication circuitry 120 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving near field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth.

The wearable device 100 may further include a battery, power management circuitry, and other input-output units 160. The input and output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, etc.

A user may input commands through the input-output circuitry 150 to control operation of the wearable device 100, and may use output data of the input-output circuitry 150 to enable receipt of status information and other outputs from the wearable device 100.

In the embodiment of the present application, the sensor 170 is configured to acquire a travel route of the wearable device; the storage and processing circuitry 110 is configured to determine a target stop corresponding to the travel route; the audio component 140 is configured to prompt for an arrival when the wearable device arrives at the target docking station.

It is to be appreciated that the sensor 170 obtains a travel route for the wearable device, the storage and processing circuitry 110 determines a target docking station corresponding to the travel route, and the audio component 140 prompts for an arrival when the wearable device arrives at the target docking station. Therefore, when the user takes public transportation and wears the wearable device, if the user arrives at the target stop station to prompt the user to arrive, the user experience is improved.

In one possible example, in terms of the storage and processing circuit 110 determining the target stop corresponding to the travel route, the storage and processing circuit 110 is specifically configured to determine a trend of change in the movement speed of the wearable device according to the duration and distance corresponding to the travel route; determining a target travel corresponding to the moving speed variation trend and the travel route from preset travel information or historical search address records; and determining the target stop station corresponding to the target trip.

In one possible example, the storage and processing circuit 110 is further configured to obtain a reference address in the target trip, where the reference address is an address adjacent to the target stop in the target trip; the audio component is further configured to prompt for an upcoming alert when the wearable device arrives at the reference address.

In one possible example, the brain wave sensor is used for acquiring brain wave signals of a user; the storage and processing circuit 110 is also used for determining the fatigue degree of the user according to the brain wave signals; in the aspect of the audio component 140 prompting the wearable device when the wearable device reaches the target docking station, the audio component 140 is specifically configured to prompt the wearable device to reach according to a prompt parameter corresponding to the fatigue degree when the wearable device reaches the target docking station.

In one possible example, in terms of the storage and processing circuit 110 determining the fatigue degree of the user according to the brain wave signals, the storage and processing circuit 110 is specifically configured to sample and quantize the brain wave signals, so as to obtain discrete brain wave signals; determining extreme values of the discrete brain wave signals to obtain a plurality of extreme values; calculating a mean square error according to the extreme values; and determining the fatigue degree according to the mean square error.

The electronic device and the wearable device may be wirelessly connected in a near field communication manner such as Wi-Fi, bluetooth, infrared, and the like, which is not limited herein.

Electronic devices may include various handheld devices, vehicle mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (terminal device), and so forth, having wireless communication capabilities.

Referring to fig. 2, an embodiment of the present application provides a flow chart illustrating a position prompting method. Specifically, as shown in fig. 2, a position prompting method, which is applicable to the wearable device shown in fig. 1, where the wearable device is worn on the head of a user, includes:

s201: a travel route of the wearable device is obtained.

In the embodiment of the present application, the travel route includes a movement path, a movement distance, a movement speed, and the like of the wearable device. The method for acquiring the travel route is not limited, and reference may be made to the sensors in the wearable device in the embodiment of fig. 1, for example: the positioning module acquires position information of the wearable device, the acceleration sensor acquires the moving speed of the wearable device and the like.

Optionally, receiving a start prompt operation corresponding to the wearable device or the electronic device; and if the starting prompt operation is successfully matched with the preset prompt operation, executing the step of obtaining the travel route of the wearable device.

In an optional embodiment, the preset prompt operation is used for verifying the start prompt operation, and when the start prompt operation is successfully matched with the preset prompt operation, the verification is passed, so that a prompt function is started.

The method and the device have the advantages that the starting prompt operation and the preset prompt operation are not limited, and the touch operation can be detected on wearable equipment or electronic equipment, wherein the touch operation can be single-click operation, double-click operation, three-click operation, sliding operation, pressing operation and the like; actions may also be specified, such as: nodding head, continuously blinking for three times, supporting forehead and opening mouth; the voice information can be collected through a voice pickup circuit of an audio component in the wearable device, the start prompt operation is generated according to the voice mailbox, or a special arrival prompt is given at a preset position of the electronic device, and the like.

That is to say, when it is checked that the user starts the prompt function, the position prompt method provided by the application is executed, so that the power consumption of the wearable device is saved, the method avoids misoperation, and the accuracy of position prompt can be improved.

S202: and determining a target stop station corresponding to the travel route.

In the embodiment of the application, the target stop station is a terminal position corresponding to the travel route, and when the user takes public transportation, the target stop station is a get-off station of the user. The method for determining the target stop station is not limited, and the travel information or the historical search address stored in the electronic device may be acquired to determine the target travel corresponding to the travel route and the time, or a plurality of addresses corresponding to the travel route may be acquired, and then the target travel corresponding to the plurality of addresses may be acquired, so that the target stop station and the like may be determined according to the target travel and the historical search address.

Optionally, the determining a target stop corresponding to the travel route includes: determining a movement speed variation trend of the wearable equipment according to the time length and the distance corresponding to the travel route; determining a target travel corresponding to the moving speed variation trend and the travel route from preset travel information or historical search address records; and determining the target stop station corresponding to the target trip.

In an alternative embodiment, the movement speed variation trend is used to represent the movement variation law of the wearable device. As is known in the art, speed is related to time and distance, and a movement speed variation trend of the wearable device, that is, a movement speed variation trend of the user or a movement speed variation trend of a vehicle on which the user rides, can be determined according to the distance and the duration corresponding to the travel route.

Because public transportation vehicles have certain limitations on their speed, for example, buses or tourists must have a speed less than a prescribed speed per hour due to the regulations on their road section; and the speed of the train is determined by the type and route of the train, i.e., the speed of the high-speed rail is greater than that of the bullet train, the speed of the bullet train is greater than that of the general train, and the speed is slower when the train enters and leaves, etc., so that the public transportation corresponding to the moving speed variation tendency can be determined according to the speed variation tendency and the speed limit of the public transportation.

In an alternative embodiment, the preset trip information may be a trip schedule in the electronic device, a successful trip order on the ticket purchasing software or the ticket purchasing program, or trip information determined according to the trip of the user, for example: the user usually takes a bus from home to the company between 8:10-9:20, takes a bus from the company to home between 18:20-18:50, and usually takes a light rail to visit the center of the city at 10:20-11:00 of the weekend, without limitation.

The historical search address record may be a search address record in the electronic device, or may be travel information searched by ticket purchasing software or a ticket purchasing program, and the like, which is not limited herein.

It can be understood that the moving speed variation trend of the wearable device is determined according to the time length and the distance corresponding to the travel route, and then the target travel corresponding to the moving speed variation trend and the travel route is determined from preset travel information or historical search address records, so that the target stop station corresponding to the target travel is further determined, and the accuracy of determining the target stop station can be improved.

S203: and when the wearable equipment reaches the target docking station, carrying out arrival prompt.

In the embodiment of the application, the arrival prompting mode when the target stops at the station is not limited, and voice prompt or vibration prompt can be performed.

In the position prompting method shown in fig. 2, the method is applied to a wearable device worn on the head of a user, obtains a travel route of the wearable device, determines a target stop corresponding to the travel route, and prompts arrival when the wearable device arrives at the target stop. Therefore, when the user takes public transportation and wears the wearable device, if the user arrives at the target stop station to prompt the user to arrive, the user experience is improved.

Optionally, the method further includes: acquiring a reference address in the target trip; when the wearable device reaches the reference address, performing an upcoming alert.

In an optional embodiment, the method for prompting the arrival is not limited, and the prompting can be performed according to the preset time length between the reference address and the target stop station; the arrival time length can be determined according to the distance between the reference address and the target docking station and the moving speed of the wearable device, then the arrival time length is prompted, and the like.

Wherein, the reference address is an address adjacent to the target stop in the target trip, and may be a station previous to the target stop in the target trip, for example: assuming that the target trip includes a first docking station, a second docking station, a third docking station, a fourth docking station, and a fifth docking station, wherein: if the fourth docking station is the target docking station, the reference address can be an address corresponding to the third docking station, and when the wearable device reaches the third docking station, an upcoming prompt is given; or may be an address corresponding to a specified duration before reaching the target docking station, for example: the specified duration is 5 minutes, the fourth docking station is a target docking station, and if the address corresponding to 5 minutes before the fourth docking station is the target address, when the wearable device reaches the third docking station, an upcoming prompt is given.

Referring to fig. 3, fig. 3 is a schematic flow chart of another position prompting method provided in the embodiment of the present application, and as shown in fig. 3, the position prompting method includes:

s301: a travel route of the wearable device is obtained.

S302: and determining a target stop station corresponding to the travel route.

Steps S301 to 302 can refer to the descriptions of steps S201 to S202 in the embodiment of fig. 2, and are not described herein again.

S303: and acquiring a brain wave signal of the user through a brain wave sensor of the wearable device.

In this embodiment of the present application, the method for acquiring a brain wave signal by a brain wave sensor is not described again, and a brain wave signal from when it is detected that a user takes a public transportation to when the user reaches a target stop may be acquired, or the brain wave signal of the user may be acquired from when a wearable device reaches the reference address, or a fixed time period in each stage may be used, for example: 0 to 1 point, 2 to 4 points, 5 to 7 points, or the first quarter of an hour, i.e., 0:00 to 0:15, 1:00 to 1:15, etc.

Optionally, acquiring a sound signal and/or a breathing signal by a bone sensor of the wearable device; and executing step S303 when the sound signal and/or the respiration signal meet a preset condition.

Because the breathing signal and the sound signal have a certain rule in the sleep state, the sound signal and/or the breathing signal can be obtained according to the bone sensor, then whether the user is in the sleep state is determined according to the sound signal and/or the breathing signal, if the user is in the sleep state, the brain wave signal is further obtained through the brain wave sensor, namely, whether the user is in the sleep state is preliminarily judged through the sound signal and/or the breathing signal, then the brain wave signal of the user is obtained, the fatigue degree of the user is further determined, and therefore the arrival prompt is carried out according to the fatigue degree, otherwise, when the user is in the non-sleep state, the prompt is carried out in a default mode.

In the above optional embodiment, the method further comprises: acquiring a volume change trend corresponding to the sound signal; when the volume change trend meets a preset sleep volume change trend, acquiring at least one sentence corresponding to the sound signal; acquiring an association value between the at least one statement; and determining whether the sound signal meets a preset condition according to the correlation value.

It can be understood that, when the user enters the sleep state, the change trend of the speaking volume of the user meets a certain condition, that is, the change trend of the sleep volume is stored in advance, if the change trend of the volume corresponding to the sound signal meets the preset change trend of the sleep volume, at least one sentence corresponding to the sound signal is obtained, and the at least one sentence is subjected to correlation analysis, that is, the logic between the sentences is analyzed, so as to determine whether the sound signal meets the preset condition according to the correlation value, for example: if the correlation value is smaller than a preset threshold value, the sound signal is determined to meet the preset condition, otherwise, the sound signal does not meet the preset condition.

In the above optional embodiment, the method further comprises: acquiring respiratory characteristics corresponding to the respiratory signals; and if the breathing characteristics are successfully matched with the pre-recorded sleep breathing characteristics, determining that the breathing signals meet preset conditions.

It can be understood that, when the user enters the sleep state, the breathing characteristics of the user meet a certain condition, that is, the breathing characteristics of the user are stored in advance, and if the breathing characteristics corresponding to the breathing signal are successfully matched with the breathing characteristics of the user, it is determined that the sound signal meets the preset condition, otherwise, the sound signal does not meet the preset condition.

In the above optional embodiment, the method further comprises: acquiring a volume change trend corresponding to the sound signal; acquiring a first matching value between the volume change trend and a preset sleep volume change trend; acquiring respiratory characteristics corresponding to the respiratory signals; acquiring a second matching value between the breathing characteristic and a pre-recorded sleep breathing characteristic; and determining whether the sound signal and the respiration signal meet preset conditions according to the first matching value and the second matching value.

That is to say, it is determined whether the respiratory signal and the sound signal satisfy a preset condition according to a first matching value between the volume change trend corresponding to the sound signal and a preset sleep volume change trend and a second matching value between the respiratory characteristic corresponding to the respiratory signal and the sleep respiratory characteristic, for example: and performing weighted calculation on the first matching value, the second matching value, the breathing signal and the sound signal to obtain a matching evaluation value, if the matching evaluation value is greater than a preset threshold value, determining that the sound signal and the breathing signal meet a preset condition, and otherwise, determining that the sound signal and the breathing signal do not meet the preset condition.

S304: and determining the fatigue degree of the user according to the brain wave signal.

In the embodiment of the present application, the description method of the fatigue degree is not limited, for example, in the percentage system, 0 to 20 are in a non-fatigue state, 20 to 50 are in a slight fatigue state, 50 to 80 are in a fatigue state, and 80 to 100 are in a very fatigue state.

According to the embodiment shown in fig. 1, the fatigue degree of the user can be determined according to the brain wave signals, the method for determining the fatigue degree is not limited in the present application, and the frequency domain analysis can be performed on the brain wave signals to obtain the feature data corresponding to each frequency band; acquiring an energy spectrum of the characteristic signal corresponding to each frequency band in the plurality of frequency bands to obtain a plurality of energy spectra; determining the degree of fatigue from a ratio between the plurality of energy spectra.

It can be understood that the energy spectrum of each frequency band is obtained according to the different corresponding states of each frequency band, and then the fatigue degree is determined according to the ratio of the energy spectrums corresponding to each frequency band in the plurality of frequency bands, that is, the fatigue degree corresponding to the frequency band is determined, so that the accuracy of determining the fatigue degree can be improved.

Optionally, the determining the fatigue degree of the user according to the brain wave signal includes: sampling and quantizing the brain wave signals to obtain discrete brain wave signals; determining an extreme value of the discrete brain wave signal to obtain a plurality of extreme values; calculating a mean square error according to the extreme values; and determining the fatigue degree according to the mean square error.

The wearable equipment can sample and quantize brain wave signals to obtain discrete brain wave signals, the sampling and quantizing can reduce data volume and improve analysis efficiency, a plurality of extreme points of the discrete brain wave signals can be extracted, the extreme points can comprise a maximum value and a minimum value, the mean square error can be calculated according to a plurality of extreme values, the mean square error represents fluctuation of a user state to a certain extent, the mapping relation between the mean square error and the fatigue degree can be stored in the wearable equipment in advance, and then the fatigue degree of a user can be determined according to the mapping relation.

It should be noted that, because the brain wave signals are weak and may contain some noise, a preprocessing operation may be performed before the brain wave signals are signal-processed, for example, the brain wave signals are weak, and the brain wave signals with a larger amplitude may be obtained by amplifying the brain wave signals, which facilitates data processing; the frequency of useful information in the brain wave signals is usually (0.5-100 Hz), other frequency components are introduced by noise to a great extent, and the filtering (or denoising) can reduce the useless information in the brain wave signals and improve the effectiveness of the brain wave signals; converting the collected brain wave signals into digital signals through analog-to-digital conversion; the brain wave signals of the target user can be obtained through signal separation, and because the brain wave signals of different people have larger specific difference in amplitude, the brain wave signals can be uniformly planned to the same scale through normalization processing.

S305: and when the wearable equipment reaches the target parking station, carrying out arrival prompt according to prompt parameters corresponding to the fatigue degree.

In the embodiment of the present application, a prompt parameter corresponding to the fatigue degree may be stored in advance, for example, when the user is in a very fatigue state, the playing volume is increased, and vibration is performed; when the fatigue state is reached, a voice prompt and a vibration prompt are played; and playing voice prompt in a slight fatigue state.

The position prompting method shown in fig. 3 is applied to a wearable device worn on the head of a user, a travel route of the wearable device is obtained, a target docking station corresponding to the travel route is determined, a brain wave signal of the user is obtained through a brain wave sensor of the wearable device, so that the fatigue degree of the user is determined according to the brain wave signal, and when the wearable device reaches the target docking station, arrival prompting is performed according to a prompting parameter corresponding to the fatigue degree. So, the user is taking public transport, and when wearing wearable equipment, if arrive the suggestion of arriving according to the suggestion parameter that corresponds with fatigue degree at the target stop website, can improve the validity of arriving the suggestion to avoid the user to miss and hear arrival prompt message, improved user experience.

Optionally, the method further includes: and when the stop station does not belong to the preset station, playing travel prompt information corresponding to the stop station.

The preset site is a place where the user arrives, and can be determined according to historical travel information in the electronic equipment; the travel prompt information comprises weather information and recommendation information of the stop station, wherein the recommendation information can be food, scenic spots, hotels, routes, friend information of the stop station in an address list and the like.

It can be understood that when the stop station does not belong to the preset station, the tour prompt information corresponding to the stop station is played, so that the user can know a certain area corresponding to the stop station when arriving at the stop station, and the user experience is improved.

Furthermore, the stop station is a target stop station, namely only the travel prompt information of the target stop station is prompted, so that the accuracy of prompting the stop station can be improved.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a position indication apparatus according to an embodiment of the present application, and as shown in fig. 4, the position indication apparatus 400 is applied to a wearable device, the wearable device is worn on a head of a user, where:

an obtaining unit 401, configured to obtain a travel route of the wearable device;

a determining unit 402, configured to determine a target stop corresponding to the travel route;

a prompting unit 403, configured to prompt arrival when the wearable device arrives at the target docking station.

It can be understood that the obtaining unit 401 obtains a travel route of the wearable device, the determining unit 402 determines a target stop corresponding to the travel route, and the prompting unit 403 prompts arrival when the wearable device arrives at the target stop. Therefore, when the user takes public transportation and wears the wearable device, if the user arrives at the target stop station to prompt the user to arrive, the user experience is improved.

In one possible example, in terms of the determination unit 402 determining the target stop station corresponding to the travel route, the determination unit 402 is specifically configured to determine a trend of change in the movement speed of the wearable device according to the time length and the distance corresponding to the travel route; determining a target travel corresponding to the moving speed variation trend and the travel route from preset travel information or historical search address records; and determining the target stop station corresponding to the target trip.

In a possible example, the obtaining unit 401 is further configured to obtain a reference address in the target trip, where the reference address is an address adjacent to the target stop in the target trip; the prompting unit 403 is further configured to prompt for an upcoming event when the wearable device arrives at the reference address.

In one possible example, the acquiring unit 401 is further configured to acquire a brain wave signal of the user through a brain wave sensor of the wearable device; the determining unit 402 is further configured to determine a fatigue degree of the user according to the brain wave signal; the prompting unit 403 is further configured to prompt the wearable device to arrive at the target docking station according to a prompting parameter corresponding to the fatigue degree.

In one possible example, in terms of determining the fatigue degree of the user according to the brain wave signals by the determining unit 402, the determining unit 402 is specifically configured to sample and quantize the brain wave signals to obtain discrete brain wave signals; determining extreme values of the discrete brain wave signals to obtain a plurality of extreme values; calculating a mean square error according to the extreme values; and determining the fatigue degree according to the mean square error.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a wearable device according to an embodiment of the present disclosure. As shown in fig. 5, the wearable device 500 comprises a processor 510, a memory 520, a communication interface 530, and one or more programs 540, wherein the one or more programs 540 are stored in the memory 520 and configured to be executed by the processor 510, and wherein the programs 540 comprise instructions for:

acquiring a travel route of the wearable device;

determining a target stop station corresponding to the travel route;

It can be understood that a travel route of the wearable device is obtained, a target stop corresponding to the travel route is determined, and arrival prompting is performed when the wearable device arrives at the target stop. Therefore, when the user takes public transportation and wears the wearable device, if the user arrives at the target stop station to prompt the user to arrive, the user experience is improved.

In one possible example, in connection with the determining the target stop corresponding to the travel route, the instructions in the program 540 are specifically configured to:

determining a movement speed variation trend of the wearable equipment according to the time length and the distance corresponding to the travel route;

determining a target travel corresponding to the moving speed variation trend and the travel route from preset travel information or historical search address records;

and determining the target stop station corresponding to the target trip.

In one possible example, the instructions in the program 540 are further configured to:

acquiring a reference address in the target journey, wherein the reference address is an address adjacent to the target stop station in the target journey;

when the wearable device reaches the reference address, performing an upcoming alert.

In one possible example, in terms of arrival prompting when the wearable device arrives at the target docking station, the instructions in the program 540 are specifically configured to:

acquiring a brain wave signal of a user through a brain wave sensor of the wearable device;

determining the fatigue degree of the user according to the brain wave signal;

and when the wearable equipment reaches the target parking station, carrying out arrival prompt according to prompt parameters corresponding to the fatigue degree.

In one possible example, in the determining the degree of fatigue of the user from the brain wave signals, the instructions in the program 540 are specifically configured to:

sampling and quantizing the brain wave signals to obtain discrete brain wave signals;

determining extreme values of the discrete brain wave signals to obtain a plurality of extreme values;

calculating a mean square error according to the extreme values;

and determining the fatigue degree according to the mean square error.

Embodiments of the present application also provide a computer storage medium storing a computer program for causing a computer to perform some or all of the steps of any of the methods as recited in the method embodiments, the computer comprising a wearable device.

Embodiments of the application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as recited in the method embodiments. The computer program product may be a software installation package, the computer comprising a wearable device.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art will also appreciate that the embodiments described in this specification are presently preferred and that no particular act or mode of operation is required in the present application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a hardware mode or a software program mode.

The integrated unit, if implemented in the form of a software program module and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A position prompting method is applied to a wearable device, the wearable device is worn on the head of a user, and the method comprises the following steps:

acquiring a travel route of the wearable device; the travel route comprises at least one of a movement path, a movement distance, or a movement speed of the wearable device;

determining a target travel corresponding to the movement speed variation trend and the travel route from preset travel information or historical search address records, wherein the preset travel information comprises a travel schedule or a travel ticket order in electronic equipment associated with the wearable equipment, and the historical search address records comprise search address records in the electronic equipment or travel information searched on a ticket purchasing application program;

determining a target stop station corresponding to the target travel;

2. The method of claim 1, further comprising:

3. The method of claim 1 or 2, wherein the prompting for the arrival when the wearable device arrives at the target docking station comprises:

determining the fatigue degree of the user according to the brain wave signal;

4. The method according to claim 3, wherein the determining the user's fatigue level from the brain wave signals comprises:

calculating a mean square error according to the extreme values;

and determining the fatigue degree according to the mean square error.

5. A wearable device to be worn on a user's head, the wearable device comprising storage and processing circuitry, and a sensor and audio component connected to the storage and processing circuitry, wherein:

the sensor is used for acquiring a travel route of the wearable device; the travel route comprises at least one of a movement path, a movement distance, or a movement speed of the wearable device;

the storage and processing circuit is used for determining the change trend of the moving speed of the wearable equipment according to the time length and the distance corresponding to the travel route; determining a target travel corresponding to the moving speed variation trend and the travel route from preset travel information or historical search address records; determining a target stop station corresponding to the target travel; the preset journey information comprises a journey schedule or a journey ticket purchasing order in the electronic equipment associated with the wearable equipment, and the historical search address record comprises a search address record in the electronic equipment or journey information searched on a ticket purchasing application program;

6. The wearable device of claim 5, wherein the storage and processing circuitry is further configured to obtain a reference address in the target trip, the reference address being an address of the target trip proximate to the target docking station;

the audio component is further configured to prompt for an upcoming alert when the wearable device arrives at the reference address.

7. The wearable device according to claim 5 or 6, wherein the sensor comprises a brain wave sensor for acquiring brain wave signals of a user;

the storage and processing circuit is further used for determining the fatigue degree of the user according to the brain wave signals;

and when the wearable device reaches the target docking station, the audio component performs arrival prompting, and the audio component is specifically configured to perform arrival prompting according to a prompting parameter corresponding to the fatigue degree when the wearable device reaches the target docking station.

8. The wearable device according to claim 7, wherein the storage and processing circuitry is specifically configured to sample and quantize the brain wave signals resulting in discrete brain wave signals, in terms of determining the degree of fatigue of the user from the brain wave signals; determining extreme values of the discrete brain wave signals to obtain a plurality of extreme values; calculating a mean square error according to the extreme values; and determining the fatigue degree according to the mean square error.

9. A position prompting device is applied to a wearable device, the wearable device is worn on the head of a user, wherein:

an acquisition unit configured to acquire a travel route of the wearable device; the travel route comprises at least one of a movement path, a movement distance, or a movement speed of the wearable device;

the determining unit is used for determining the movement speed change trend of the wearable device according to the time length and the distance corresponding to the travel route; determining a target travel corresponding to the moving speed variation trend and the travel route from preset travel information or historical search address records; determining a target stop station corresponding to the target travel; the preset journey information comprises a journey schedule or a journey ticket purchasing order in the electronic equipment associated with the wearable equipment, and the historical search address record comprises a search address record in the electronic equipment or journey information searched on a ticket purchasing application program;

10. A wearable device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-4.

11. A computer-readable storage medium for storing a computer program, wherein the computer program causes a computer to perform the method according to any one of claims 1-4.