WO2013086728A1 - Système et dispositif de rappel d'exercice - Google Patents

Système et dispositif de rappel d'exercice Download PDF

Info

Publication number
WO2013086728A1
WO2013086728A1 PCT/CN2011/084088 CN2011084088W WO2013086728A1 WO 2013086728 A1 WO2013086728 A1 WO 2013086728A1 CN 2011084088 W CN2011084088 W CN 2011084088W WO 2013086728 A1 WO2013086728 A1 WO 2013086728A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
motion
information
server
limit value
Prior art date
Application number
PCT/CN2011/084088
Other languages
English (en)
Chinese (zh)
Inventor
陈澎
Original Assignee
北京英福生科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京英福生科技有限公司 filed Critical 北京英福生科技有限公司
Priority to PCT/CN2011/084088 priority Critical patent/WO2013086728A1/fr
Priority to CN2011800066431A priority patent/CN102804238A/zh
Publication of WO2013086728A1 publication Critical patent/WO2013086728A1/fr

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Definitions

  • the invention relates to a motion reminding device and system.
  • Techniques have been developed for automatically monitoring user actions by sensors and recording the user's historical behavior, such as a pedometer, etc., which can display the number of walks and exercise intensity of the user over a period of time, and the user can display himself by the displayed value. View the amount of exercise or exercise efficiency over time.
  • U.S. Patent No. 5,788, 655 discloses a device for measuring the amount of body motion, comprising an acceleration sensor for detecting the motion of a body of a living body, a device for calculating the amount of motion based on the detection signal of the sensor, and a display for displaying the calculated amount of exercise. And calculating the calorie value consumed for a predetermined period of time (for example, one day) and displaying it; and comparing the absorbed calorie value with the calorie value consumed, the user's exercise intensity level is displayed.
  • the above prior art can only simply display the value related to the amount of physical exercise of the user and the value of the target completion degree.
  • the user needs to view these values from time to time to know the amount of physical exercise and the amount of target exercise. If the user forgets to view, The effect of the exercise aid or suggestion is not achieved; and the user cannot intuitively understand which sports items need to be achieved to achieve the target calorie consumption value; further, the above existing equipment cannot be based on the user's exercise habits, the current time, and the user's location. The location and other factors recommend the user's suitable activity items.
  • the user is not suitable for outdoor sports such as long-distance running or tennis, etc., and may be more suitable for indoor sports such as yoga or skipping, or when The above-mentioned existing device cannot provide helpful information to the user when the user wants to know which fitness places near the location where he or she can perform the desired or favorite exercise.
  • a sensor for detecting a motion signal of the user
  • a microprocessor configured to process an action signal detected by the sensor to identify a type of motion of the user, and calculate a motion amount related parameter value of the user for a predetermined time based on the action type, and correlate according to the motion amount of the user
  • the parameter value sends a reminder signal through the output device.
  • the output device is further configured to output a reminder message after the reminder signal is sent;
  • the reminder information includes a suitable type of exercise of the user and a corresponding exercise time and/or exercise, wherein the exercise amount related parameter is a physical activity amount, and the device further includes
  • a memory configured to store a correspondence table of action types and metabolic equivalents
  • the microprocessor is configured to calculate a physical activity amount of the user in the predetermined time according to the identified action type and the correspondence table;
  • the user is reminded to reduce an appropriate amount of exercise when the amount of physical activity calculated within the predetermined time period by the microprocessor exceeds a predetermined upper limit value.
  • the output device further includes display means for displaying a list of user personal information; the device further includes input means for the user to select to input his personal information;
  • the microprocessor sets the preset lower limit value and the upper limit value according to the personal information.
  • the personal information includes height, weight, gender, age, health status, and sports preferences.
  • the motion related parameter is a calorie consumption amount, and the output device further includes display means for displaying a user personal information option list;
  • the device further includes input means for the user to select to input his personal information according to the personal information option list, including at least user weight information;
  • a memory configured to store a correspondence table of action types and metabolic equivalents
  • the microprocessor is configured to calculate a calorie consumption amount of the user within the predetermined time according to the identified action type and the correspondence relationship table and the weight information in the personal information input by the user;
  • the microprocessor sets the preset lower limit value and the preset upper limit value according to the personal information input by the user.
  • the personal information also includes height, gender, age, health status, and sports preferences.
  • the method further includes a memory for storing a motion plan list;
  • the display device is further configured to display the motion plan list
  • the user selects an input motion plan according to the motion plan list through the input device; the microprocessor sets a motion amount related parameter value required by the user according to the personal information and the motion plan input by the user; and according to the calculation
  • the motion-related parameter values within the predetermined time are used to alert the user to the exercise of the appropriate amount of exercise.
  • the method further includes: a memory, configured to store an action type and a metabolic equivalent correspondence table; the microprocessor is configured to search for a corresponding metabolic equivalent according to the identified action type according to the correspondence table;
  • the microprocessor further includes a counter, configured to calculate, according to the correspondence table, the number of valid actions and invalid action types in the predetermined time, when the number of the valid actions recorded by the counter is less than a lower limit, And/or the microprocessor sends a reminder signal when the number of invalid actions exceeds an upper limit value;
  • the effective action type is an action type whose corresponding metabolic equivalent value is greater than or equal to a predetermined metabolic equivalent
  • the invalid action type is an action type whose corresponding metabolic equivalent value is less than or equal to the preset metabolic equivalent.
  • the method further includes a memory, configured to record motion history information of the user;
  • the microprocessor analyzes the user's exercise habits according to the user's exercise history information; the microprocessor sequentially displays the reminder information through the display device according to the user's exercise habits.
  • the microprocessor sequentially displays the reminder information through the display device according to the user's sports preferences.
  • a clock is also included for recording time
  • the microprocessor displays the reminder letter according to the current time to select a suitable type of exercise at the current time
  • the present invention further provides a motion reminding system, including a device, configured to detect a motion signal of a user to identify an action of the user, and calculate a motion parameter related parameter value of the user within a predetermined time based on the action type, and according to the Sending a reminder signal to the parameter value of the user's exercise amount;
  • a server communicating with the device through a communication module
  • the device After the device sends the reminder signal, the user's motion amount related parameter value and the user's historical motion information are sent to the server;
  • the server calculates a type of exercise suitable for the user and a corresponding amount of exercise according to the historical motion information and the amount of motion related parameter values of the user, and generates a reminder information and transmits the reminder information to the device.
  • the server further stores a latitude and longitude data and a corresponding location-related motion information database
  • the device further includes a position sensor for detecting a current location of the user;
  • the server searches the database according to the type of motion that the user is suitable for and the current location of the user, and transmits the found location-related motion information to the device.
  • the server is further configured to store a personal information option table
  • the device downloads the personal information option table from the server, and the user selects to input personal information and sends the information to the server;
  • the server sets the preset upper limit value and the lower limit value according to the received personal information, and sends the preset upper limit value and the lower limit value to the device;
  • the device sends a reminder signal according to the preset upper limit value and the lower limit value sent by the server.
  • the memory is further configured to store a motion plan list;
  • the device downloads the motion plan list from the server, and the user selects to input a motion plan and sends the motion plan to the server;
  • the server sets the preset upper limit value and the lower limit value according to the motion plan, the user's personal information, and/or the user's historical motion information, and sends the preset upper limit value and the lower limit value to the device;
  • the device sends a reminder signal according to the preset upper limit value and the lower limit value sent by the server.
  • the location-related motion information includes fitness location location information including the motion type near the current location of the user, fitness equipment location information including the motion type, and store location information including the sports-related related product. One or a combination of commodity price information.
  • the server is further configured to store an electronic map;
  • the device is also for downloading the electronic map from the server;
  • the device also marks the reminder information on the electronic map.
  • the present invention further provides a motion reminding system, comprising: a device, configured to detect a motion signal of a user to identify an action of the user, and calculate a motion parameter related parameter value of the user within a predetermined time based on the action type, and calculate according to the The motion quantity related parameter value is compared with a preset upper limit value and/or a lower limit value, and a reminder signal is sent according to the comparison result, and the user's motion amount related parameter value and historical motion information are sent to the terminal;
  • a terminal configured to receive a motion quantity related parameter value and historical motion information sent by the device, and send the information to the server;
  • a server configured to analyze, according to the motion quantity related parameter value and the historical motion information of the user sent by the terminal, a suitable motion type and a corresponding motion quantity of the user, and generate a reminder information and send the reminder information to the terminal display server.
  • the reminder information configured to analyze, according to the motion quantity related parameter value and the historical motion information of the user sent by the terminal, a suitable motion type and a corresponding motion quantity of the user, and generate a reminder information and send the reminder information to the terminal display server. The reminder information.
  • the user inputs current location information through the terminal;
  • the server further includes latitude and longitude data and a corresponding location-related motion information database;
  • the server finds the database according to the type of motion that the user is suitable for and the location information sent by the terminal, and transmits the found location-related motion information to the device.
  • the terminal is a mobile terminal, and further includes a location sensor, configured to detect a current location of the user and send the location to the server;
  • the server further includes latitude and longitude data and a corresponding motion-related information database; the server searches the database according to the type of motion suitable for the user and the location information sent by the terminal, and searches for the location-related motion Information is transmitted to the device.
  • the server is further configured to store a personal information option table
  • the terminal downloads the personal information option table from the server, the user selects to input personal information, and the terminal sends the motion plan to the server; the server sets the according to the personal information. Presetting an upper limit value and a lower limit value and transmitting to the device through the terminal;
  • the device sends a reminder signal according to the preset upper limit value and the lower limit value sent by the server.
  • the server is further configured to store a motion plan list;
  • the terminal downloads the motion plan list from the server, and the user selects to input a motion plan, and the terminal sends the motion plan to the server;
  • the server sets the preset upper limit value and the lower limit value according to the personal information of the user and the selected motion plan and/or the historical motion information of the user, and sends the preset upper limit value and the lower limit value to the device through the terminal;
  • the device sends a reminder signal according to the preset upper limit value and the lower limit value sent by the server.
  • the server is further configured to store user historical motion information sent by the terminal, and analyze the user's sports preferences according to the user historical motion information, and send the information to the terminal;
  • the terminal arranges the reminder information according to the user's sports preferences.
  • the user history motion information includes motion type information of the user, time information of the type of action performed, location information of the motion performed by the user, and one or a combination of the user's motion-related consumption information.
  • FIG. 1 is a block diagram of a device in accordance with an embodiment of the present invention.
  • FIG. 2 is a schematic diagram of a correspondence relationship between a motion type and a metabolic equivalent stored in the device shown in FIG. 1;
  • FIG. 3 is a schematic diagram of a personal information input option displayed by the device shown in FIG.
  • Figure 4 is a schematic diagram of the motion plan input options displayed by the device shown in Figure 1;
  • FIG. 5 is a schematic diagram of reminding information displayed by the device shown in FIG. 1;
  • FIG. 6 is a schematic diagram of a correspondence relationship between time stored in the device shown in FIG. 1 and a suitable action type
  • FIG. 7 is a structural diagram of a system according to an embodiment of the present invention.
  • Figure 8 is a schematic diagram of a map displayed with the position-related motion information displayed by the system of Figure 7;
  • Figure 9 is a block diagram of a system in accordance with another embodiment of the present invention.
  • the device 100 can be a portable device that can be carried or placed in a certain part of the user's body, such as the wrist, the waist, the legs, the feet, and the like.
  • the device 100 can include a sensor 101, wherein the sensor 101 can be any sensor known in the art, such as an acceleration sensor, a gyroscope, an angular velocity sensor, a height sensor, an infrared sensor, an image sensor, etc., for sensing a user's motion signal.
  • the sensor 101 of the present invention is preferably a 3D acceleration sensor;
  • a microprocessor 102 is operative to receive an action signal transmitted from the sensor 101.
  • the microprocessor 102 further includes a motion recognition unit (not shown) for performing motion recognition processing according to the motion signal transmitted by the sensor 101 to identify the motion type of the user, wherein the motion recognition processing operation may be established in advance by the device 100.
  • a plurality of action models wherein the action models can be established using a Gaussian model, a Bayesian network model, an artificial neural network model, etc., which are well known in the art.
  • the microprocessor 102 After receiving the motion signal transmitted from the sensor 101, the microprocessor 102 recognizes the action type of the user by using the motion recognition algorithm according to the action model in the device 100.
  • the motion recognition algorithm may employ a classification algorithm well known in the art.
  • the microprocessor 102 may further calculate a parameter value related to the amount of motion of the user for a predetermined period of time according to the type of motion recognized by the user, wherein calculating the parameter value related to the amount of motion may include, for example, calculating the user according to METs (metabolic equivalent) The amount of physical activity, calorie consumption, etc.; and, based on the calculated amount of exercise related parameter value, the microprocessor 102 outputs a reminder signal through the output device 103 for reminding the user to increase the appropriate amount of activity or to reduce the amount of activity.
  • METs metabolic equivalent
  • the apparatus 100 of the present invention may further include a memory 104 for storing an action type and a MET (metabolic equivalent) correspondence table, as shown in FIG.
  • the metabolic equivalent refers to the ratio of the metabolic rate during exercise to the metabolic rate at rest.
  • 1 MET is defined as roughly equivalent to the amount of oxygen consumed per minute when a person is sitting in a quiet state without any activity.
  • the activity of 5METs indicates that the oxygen consumption during exercise is 5 times that of the quiet state.
  • MET is another method of expressing exercise intensity in addition to heart rate and the like.
  • the microprocessor 102 is capable of finding a corresponding metabolic equivalent value based on the identified action type based on the corresponding relationship table, thereby performing calculation of the motion amount related parameter.
  • the corresponding metabolic equivalent is 2.5, as shown in the correspondence table shown in FIG.
  • the microprocessor 102 is also capable of calculating the speed of each action based on the motion signals transmitted by the sensor 101.
  • each step in the "walk" action is a motion cycle.
  • the motion signal waveform first estimate the period value by the frequency domain method, and then use the time domain near this value. The method does an accurate search for its period, and the reciprocal of the period is the speed of the user's movement.
  • the microprocessor 102 can accurately find the corresponding METs value according to the calculated motion speed.
  • the walking can be slow walking or fast walking, and the corresponding METs values are different.
  • the microprocessor 102 can determine whether the amount of exercise of the user during the predetermined time is too much or too small to remind the user to reduce or increase the amount of activity based on the preset amount of motion-related parameter thresholds in the device 100. For example, the device 100 can set the user's amount of motion-related parameter values to be calculated for a predetermined period of time and/or within a day, and set the microprocessor 102 to recognize the type of motion of the user once per minute. Microprocessor 102 can include a counter for recording the number of action types corresponding to different METs values during user activity.
  • the counter can be used for the invalid action type.
  • the number and the number of valid action types are counted, and the device 100 can preset the motion-related parameter thresholds as follows:
  • the microprocessor 102 sends a reminder signal to remind the user to exercise the appropriate amount of exercise.
  • the valid action type and the invalid action type may be set according to different groups of people. For example, the general population can set the action type with METs of 3.5 or higher as the effective action type, and the athlete can set the action type with METs of 6 or higher as the effective action type. Further, if the user is implementing a weight loss plan, a higher METs value can be set as the effective action type.
  • the processor calculates the amount of effective exercise for a predetermined period of time, for example, half a day or a day, for example, the half-day time is still a predetermined period of time.
  • the microprocessor 102 can also issue a reminder signal to alert the user to the exercise to reduce the amount of exercise.
  • the microprocessor 102 can also calculate the amount of physical activity according to different types of motions, and the formula for calculating the amount of physical activity is as follows:
  • the device 100 can set the minimum and maximum values of the total amount of healthy physical activity for the user within half a day.
  • a reminder signal is sent to remind the user to perform the exercise of the appropriate amount of motion; and vice versa
  • the microprocessor 102 calculates the physical activity of the user for a half day, the amount of physical activity is 5.
  • 0x12 hours 60 activity amount, when the maximum value is exceeded, A reminder signal is sent to remind the user to reduce the amount of exercise.
  • the signal that reminds the user to increase the appropriate amount of exercise and the signal that prompts the user to reduce the appropriate amount of exercise can be distinguished.
  • the output device 103 can include a display device, and the device 100 can further include an input device 105 through which the user can input his or her weight information.
  • the operation of inputting the weight information can display a selection list through the display device, and the user can select and input his weight information according to the selection list.
  • the microprocessor 102 can also calculate the calorie value consumed by the user for a predetermined period of time (e.g., half a day) based on the metabolic equivalent corresponding to the identified type of action and the body weight input by the user.
  • the calculation formula can be as follows:
  • the calorie consumption can also be calculated according to the user's personal information, including height, weight, age, gender, health status, ethnicity, etc.
  • the calculation method can be calculated according to the reference formula in exercise physiology, no longer one. A narrative.
  • the device 100 can set the upper limit value and the lower limit value of the calorie consumption amount within a predetermined time.
  • the upper limit value of the calorie amount that should be consumed in one day is set to 7200 Kcal
  • the lower limit value can be equal to or less than the upper limit value.
  • the upper limit for example 2880Kcal. If the amount of calories consumed by the user exceeds the upper limit during the predetermined period of time calculated by the microprocessor 102, for example, 7800 Kcal, it indicates that the user consumes too much calories, and a reminder signal is sent to remind the user that the energy needs to be supplemented and/or the amount of exercise is reduced.
  • the calorie consumption consumed by the user in the predetermined period is lower than the lower limit of the target calorie consumption, it means that the amount of calories consumed by the user is insufficient, and a reminder signal is issued to remind the user of the exercise requiring an appropriate amount of exercise.
  • the above reminder signal may be a buzzer signal, a vibration signal or a voice prompt signal.
  • different signals can be set to distinguish between a reduced amount of motion reminder and an increased amount of motion reminder.
  • the user can also input more personal information, such as height and sex, by using the input device 105. No, age, health, ethnicity, etc., as shown in Figure 3.
  • the microprocessor 102 can also set different upper and lower limits based on these personal information.
  • the upper and lower limits of the motion amount related parameter can be determined according to the BMI (Body Mass Index), for example,
  • the memory in the device 100 can also store a motion plan option table.
  • the display device can also display the motion plan list, and the user can also select to input a motion plan by using the input device.
  • the weight loss plan as shown in Figure 3.
  • the microprocessor 102 can set different upper and lower limits based on personal information and motion plans entered by the user. Since the amount of exercise required to lose weight is greater than the amount of exercise required for a normal healthy activity, it is necessary to reset different upper and lower limits. For example, a female user under 24 years of age weighing 60 kg should have a lower limit of total exercise that can be achieved in a day.
  • the display device in the output device 103 of the device 100 is further configured to display a reminder message after the reminder signal is sent, the alert information may include a type of exercise suitable for the current amount of exercise of the user, a corresponding exercise time, and/or The amount of exercise. For example, if the total amount of physical activity of the user is 12 in a half-day, lower than the preset lower limit of 24, the user is reminded to ride for 15 minutes, yoga training for 20 minutes, swimming for 15 minutes, barbell lifting for 100 times, ping pong The ball is 10 minutes, etc., as shown in Figure 5.
  • the user can enter their sport preferences.
  • the reminder information can also be input according to the user Sports preferences display the user-appropriate types of movements in order of priority. For example, if the user needs 20 minutes of running or 10 minutes of swimming, and the user's sports favorite sports are swimming -> badminton -> running, then The 10-minute swimming information is displayed in the front, while the 20-minute running is displayed in the back.
  • the sports preferences can be implemented by the device to set the selected motion options for the user to select.
  • the device 100 further includes a clock (not shown) for recording time; the memory 104 in the device 100 may further store a time and corresponding optimal motion type correspondence table, as shown in FIG. 6;
  • the microprocessor 102 can also look up the correspondence table according to the current time and display the appropriate motion information in order. For example, if the user currently needs to perform 5 minutes of yoga or 10 minutes of swimming, and the clock is 22 o'clock in the evening, the microprocessor 102 can perform priority display according to the suitable motion at night, for example, the 5 minute yoga is arranged in the front display, and After 10 minutes of swimming, it will show up.
  • the microprocessor 102 can also store the user's motion history in the memory 104 and analyze the type of motion the user often does based on the user's athletic history to analyze the user's exercise habits.
  • the microprocessor 102 can also alert the user to the appropriate exercise intensity, frequency, duration, and type of exercise based on the health conditions entered by the user and other personal information. For example, in patients with hypertension, the most suitable types of exercise are yoga, Tai Chi, jogging, walking, exercise intensity of 3.5 ⁇ METs ⁇ 5.0, and exercise frequency of 2 times a day.
  • a motion alert system 200 in accordance with a first embodiment of the present invention is shown. Includes:
  • the device 201 is configured to detect an action signal of the user, and identify an action of the user according to the action signal; and calculate a motion quantity related parameter value of the user within a predetermined time based on the action type, and according to the user
  • the motion quantity related parameter value sends a reminder signal;
  • the predetermined time may be half day or one day, one week or one month;
  • the preset upper limit value and the lower limit value of the default motion quantity related parameter may be preset, and the default preset upper limit value and the preset lower limit value are compared with the exercise quantity related parameter values.
  • the device 201 may include components similar to the device 101 shown in FIG. 1, such as the sensor 2011, the microprocessor 2012, and further includes an output device 2014 for outputting a reminder signal.
  • the output device 2014 may include a buzzer, a vibrator, an audio output device, and the like;
  • the server 202 is configured to communicate with the device 201 by wire or wirelessly; the device 201 sends the reminder signal to the user's historical motion information and the calculated motion phase.
  • the parameter value is sent to the server 202;
  • the preset upper limit value and the lower limit value of the default motion quantity related parameter may also be preset, and the user is currently adapted according to the historical motion information of the user and the calculated motion related parameter value.
  • the type of exercise and the corresponding amount of exercise and generate a reminder message to be sent to the device 201;
  • the output device 2014 further includes a display device (not shown) through which the device 201 can display the reminder information to the user.
  • the user can also input personal information, such as age, gender, height, weight, health status, ethnicity, etc., through the input device 2015 through the personal information option table downloaded from the server 202 displayed by the device 201, as shown in FIG.
  • the device 202 then uploads to the server 202 through the device 201; the server 202 can set a preset upper limit value and a lower limit value suitable for the user according to the personal information input by the user, and then transmit to the device 201, and the device 201 updates its preset upper limit. a value and a lower limit value, and issuing a reminder signal according to the updated preset upper and lower limit values;
  • the user can further select a suitable exercise plan, such as a weight loss exercise plan, a rehabilitation exercise plan, a postpartum exercise plan, etc., by using the input device 2015 in the exercise plan option table downloaded from the server 202 displayed by the device 201, as shown in FIG. 4 . Shown. After the user selects a specific exercise plan, the server 202 sets a preset upper limit value and a lower limit value according to the user's personal information and the exercise plan, and the device 201 sends a reminder signal according to the updated preset upper limit value and the lower limit value;
  • a suitable exercise plan such as a weight loss exercise plan, a rehabilitation exercise plan, a postpartum exercise plan, etc.
  • the device 201 also periodically sends the user's motion history information to the server 202.
  • the server 202 can analyze the user's exercise habits and/or exercise plan completion status according to the personal information input by the user and the motion plan and exercise history information selected by the user, for example, the user.
  • the weight loss plan is selected, and the user completes the type of exercise and the amount of exercise reminded by the system 200 on time, the server 202 can adjust the preset upper and lower limits, so that the user can complete the selected exercise plan more efficiently; and, the device 201 is also capable of displaying the motion reminding information in order of priority according to the user's exercise habits.
  • the user can also select personal sports preferences through the input device 2015 through the sports preference list downloaded from the server 202 displayed by the device 201, and the device 201 displays the user in the order of priority according to the user's personal sports preference information.
  • the device 201 further includes a location sensor 2013 for detecting a current location of the user; the server 202 further stores a latitude and longitude data and a corresponding location-related motion information database; The server 202 searches the database according to the type of motion that the user is suitable for and the current location of the user, and transmits the found location-related motion information to the device 201.
  • a location sensor 2013 for detecting a current location of the user
  • the server 202 further stores a latitude and longitude data and a corresponding location-related motion information database
  • the server 202 searches the database according to the type of motion that the user is suitable for and the current location of the user, and transmits the found location-related motion information to the device 201.
  • the server 202 also stores historical location information of the user, and counts the user's favorite sports location information, and the server 202 can arrange the motion type in the alert information according to the user's preferred sports location.
  • the location-related motion information includes fitness location location information including the type of exercise near the current location of the user, required fee, related sports type item introduction and contact information, and the like, and the fitness type including the exercise type.
  • the user can request the server 202 to perform a sports item reservation, a commodity online transaction, and the like through the device 201.
  • the search range can be within 1 km or within 5 km, and can be set according to user needs.
  • the server 202 is further configured to store an electronic map
  • the device 201 is further configured to download the electronic map from the server 202; and the device 201 also marks the reminder information on the electronic map. For example, mark a fitness center name or picture information, store name, or picture information at a location on the map, as shown in Figure 7.
  • FIG. 8 shows a motion reminding system 300 according to a second embodiment of the present invention, including:
  • the device 301 is configured to detect an action signal of the user to identify an action of the user, and calculate, according to the action type, a motion amount related parameter value of the user within a predetermined time, and according to the calculated motion amount related parameter value and a preset
  • the limit value and/or the lower limit value are compared to issue a reminder signal, and the user's motion quantity related parameter value is sent to the terminal 302 by wire or wirelessly;
  • the terminal 302 can be a computer, a notebook computer, a laptop computer, and includes a processor 3022, an output device 3023, and an input device 3024.
  • the terminal 302 can also be a mobile terminal, such as a mobile phone, a PDA, an MP3, or the like.
  • a position sensor 3021 such as a GPS module;
  • a server 303 such as a remote server; the server 303 is similar to the server 202 shown in Figure 7, having similar functions.
  • the terminal 302 can be connected to the server 303 by wire or wirelessly, for example, wirelessly with the server via the GPRS module, or wired to the server 303 via the USB interface. And calculating, according to the calculated motion quantity related parameter value in the motion time, according to a preset preset upper limit value and a preset lower limit value set in advance in the device 301, when the motion quantity related parameter value in the predetermined time exceeds the pre-predetermined value When the upper limit value is set and/or lower than the preset upper limit value, the device 301 sends a reminder signal through the output device 3023 to prompt the user to view the terminal 302, wherein the reminder signal can be vibrated by a buzzer. Buzzer signal, vibration signal or voice prompt signal output by the device, audio output device, etc.;
  • the user's motion amount related parameter value data and the user's historical motion information are sent to the terminal.
  • the terminal 302 receives the motion quantity related parameter data of the user and the historical motion information of the user sent by the device 301, and then forwards the data to the server 303;
  • the server 303 analyzes the appropriate motion type, the amount of exercise, and the like according to the user's motion amount related parameter data sent by the terminal 302 and the user's historical motion information, and generates a reminder information to be sent to the terminal 302.
  • the output device 3023 of the terminal 302 may further include a display.
  • the device (not shown) is configured to display reminder information sent by the server, prompting the user to increase or decrease the corresponding amount of exercise.
  • the user can also input personal information, such as age, gender, height, health, weight, race, etc., through the input device 3024 through the personal information option table downloaded from the server 303 displayed by the terminal 302, and then pass The terminal uploads to the server; the server may set a preset upper limit value and a lower limit value suitable for the user according to the personal information input by the user, and then transmit the signal to the device, and the device sends a reminder signal according to the updated preset upper limit value and the lower limit value. ;
  • the user can further select an appropriate exercise plan, such as a weight loss exercise plan, a rehabilitation exercise plan, a postpartum exercise plan, etc., by the input device 3024 through the exercise plan option table downloaded from the server 303 side displayed by the terminal 302.
  • an appropriate exercise plan such as a weight loss exercise plan, a rehabilitation exercise plan, a postpartum exercise plan, etc.
  • the server sets a preset upper limit value and a lower limit value according to the user's personal information and the exercise plan, and sends the device to the device 301 through the terminal 302, and the device 301 updates the preset upper limit value and the lower limit value. And issuing a reminder signal according to the updated preset upper limit value and lower limit value;
  • the user can also select personal sports preferences through the input device 3024 through the sports preference list downloaded from the server 303 displayed by the terminal 302, and the terminal displays the desired users according to the priority order according to the personal sports preference information.
  • the terminal 302 is a device such as a notebook computer or a computer
  • the user can select to input the current location according to the location information option table displayed by the user, and the terminal 302 transmits the location information input by the user.
  • the server or when the terminal 302 is a mobile terminal, which may further include a location sensor for sensing the latitude and longitude information of the user, as shown in FIG. 9, and transmitting to the server 303 through a wireless communication module, such as GPRS;
  • the server 303 can also store an electronic map, and the type of the sport item, the exercise intensity, or the product information related to the motion that is required to be reminded or recommended to the user for the location information of the user is marked on the electronic map by the display device. .
  • the server 303 is further configured to store user history motion data periodically sent by the mobile terminal, and analyze the user's exercise habit according to the user history motion data and send the data to the terminal.
  • the terminal can arrange reminder information in order of priority according to the user's exercise habits.
  • the server 303 is further configured to store historical location information of the user, and count the sports location information of the user preference, and the server 303 can arrange the types of motions in the alert information according to the location of the user's favorite sports.
  • the server 303 also sends the route of the fitness-related venue to the terminal 302 according to the location of the user, and the terminal 302 displays to the user through the display device.
  • the server 303 can also record consumption information of the user and a third-party platform, such as a fitness club, a gymnasium, a sports store, etc., the server can determine the user's sports preferences according to the user consumption history information, and arrange the reminder information according to the user's preference. ;
  • a third-party platform such as a fitness club, a gymnasium, a sports store, etc.
  • the server 303 can also recommend the user's suitable motion information according to the user's preference and the current time, for example, if the current time is 12 o'clock in the evening, and the user's favorite sports include tennis, yoga, swimming, barbell, long-distance running, then the server
  • the indoor sports such as yoga and barbell, the time for doing yoga, and the number of lifts required for the barbell are preferentially displayed, and the unsuitable indoor sports such as long-distance running and swimming are sequentially arranged in the rear.

Abstract

La présente invention concerne un dispositif de rappel d'exercice qui comprend : un capteur, configuré pour détecter un signal de mouvement d'un utilisateur ; et un micro-processeur, configuré pour traiter le signal de mouvement détecté par le capteur pour identifier un type de mouvement de l'utilisateur, calculer une valeur d'un paramètre relatif à une quantité d'exercice de l'utilisateur au cours d'une période prédéterminée basée sur le type de mouvement, et envoyer un signal de rappel par un dispositif de sortie en fonction de la valeur du paramètre lié à la quantité d'exercice de l'utilisateur. Le système et le dispositif de rappel d'exercice peuvent informer un utilisateur d'un type d'exercice et d'une quantité d'exercice actuellement adaptés, en fonction des informations d'exercice de l'utilisateur.
PCT/CN2011/084088 2011-12-15 2011-12-15 Système et dispositif de rappel d'exercice WO2013086728A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2011/084088 WO2013086728A1 (fr) 2011-12-15 2011-12-15 Système et dispositif de rappel d'exercice
CN2011800066431A CN102804238A (zh) 2011-12-15 2011-12-15 运动提醒设备及***

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2011/084088 WO2013086728A1 (fr) 2011-12-15 2011-12-15 Système et dispositif de rappel d'exercice

Publications (1)

Publication Number Publication Date
WO2013086728A1 true WO2013086728A1 (fr) 2013-06-20

Family

ID=47201328

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2011/084088 WO2013086728A1 (fr) 2011-12-15 2011-12-15 Système et dispositif de rappel d'exercice

Country Status (2)

Country Link
CN (1) CN102804238A (fr)
WO (1) WO2013086728A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105678064A (zh) * 2015-12-31 2016-06-15 小米科技有限责任公司 健身方案推荐方法及装置
WO2018121337A1 (fr) * 2016-12-29 2018-07-05 中兴通讯股份有限公司 Procédé et appareil destinés à un message de rappel

Families Citing this family (61)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103040473B (zh) * 2012-12-13 2015-08-12 东软熙康健康科技有限公司 一种监测运动状态的方法和装置
US10447844B2 (en) 2012-12-14 2019-10-15 Apple Inc. Method and apparatus for automatically setting alarms and notifications
CN104918543B (zh) * 2013-01-11 2021-07-06 皇家飞利浦有限公司 用于评估对象的运动范围的***和方法
US20140197963A1 (en) * 2013-01-15 2014-07-17 Fitbit, Inc. Portable monitoring devices and methods of operating the same
US9210566B2 (en) * 2013-01-18 2015-12-08 Apple Inc. Method and apparatus for automatically adjusting the operation of notifications based on changes in physical activity level
CN107928629B (zh) * 2013-06-03 2021-06-11 飞比特公司 便携式监视装置及其操作方法
US20150044648A1 (en) 2013-08-07 2015-02-12 Nike, Inc. Activity recognition with activity reminders
CN103455170B (zh) * 2013-08-22 2017-03-01 西安电子科技大学 一种基于传感器的移动终端运动识别装置及方法
CN103519821B (zh) * 2013-10-11 2015-08-26 深圳先进技术研究院 一种基于人体生理信息采集的运动提醒方法
CN103699795B (zh) * 2013-12-20 2018-01-23 东软熙康健康科技有限公司 一种运动行为识别方法、装置及运动强度监测***
CN104750965B (zh) * 2013-12-31 2018-03-23 ***通信集团公司 一种用户运动状态的确定方法及装置
CN103763675A (zh) * 2014-01-24 2014-04-30 惠州Tcl移动通信有限公司 基于移动终端分析用户行为并进行提示的方法及***
CN103823562B (zh) * 2014-02-28 2017-07-11 惠州Tcl移动通信有限公司 自动提醒用户睡觉的方法、***及可穿戴设备
CN104007822B (zh) * 2014-05-30 2017-09-05 中山市永衡互联科技有限公司 基于大数据库的运动识别方法及其装置
CN108133742B (zh) 2014-09-02 2020-04-14 苹果公司 身体活动和健身监视器
TWI565501B (zh) * 2014-10-01 2017-01-11 虹映科技股份有限公司 隨身運動提示方法、系統與一運動平台
KR102379738B1 (ko) * 2014-11-25 2022-03-29 삼성전자주식회사 전자 장치 및 그 아이템 정보 제공 방법
CN104616454B (zh) * 2014-12-23 2017-09-22 广东小天才科技有限公司 一种根据使用习惯数据进行忘佩戴提醒的方法与装置
CN105808915A (zh) * 2014-12-30 2016-07-27 环达电脑(上海)有限公司 锻炼计划自动调整方法
CN104808503B (zh) * 2015-04-16 2019-01-15 联想(北京)有限公司 一种信息处理方法及电子设备
CN106156167A (zh) 2015-04-16 2016-11-23 腾讯科技（深圳）有限公司 数据收集/处理的方法、运动信息采集设备和***
CN104796489A (zh) * 2015-05-04 2015-07-22 李文俊 一种智能运动器材强制提醒方法及提醒***
US20170017776A1 (en) * 2015-07-17 2017-01-19 Google Inc. Context-aware system for providing fitness information
CN105138567B (zh) * 2015-07-24 2018-10-26 小米科技有限责任公司 信息处理方法及装置
EP4327731A3 (fr) 2015-08-20 2024-05-15 Apple Inc. Cadran de montre basé sur l'exercice
CN105653715A (zh) * 2015-12-31 2016-06-08 北京奇艺世纪科技有限公司 一种训练教程的推送方法和***
CN105943016B (zh) * 2016-02-26 2019-05-21 快快乐动（北京）网络科技有限公司 一种心率测量方法及***
CN105787449A (zh) * 2016-02-26 2016-07-20 努比亚技术有限公司 一种运动状态的检测方法及装置
DK201770423A1 (en) 2016-06-11 2018-01-15 Apple Inc Activity and workout updates
US11216119B2 (en) 2016-06-12 2022-01-04 Apple Inc. Displaying a predetermined view of an application
CN106250685B (zh) * 2016-07-26 2019-10-22 广东小天才科技有限公司 一种显示用户健康参数的方法及装置
JP2018023681A (ja) * 2016-08-12 2018-02-15 セイコーエプソン株式会社 情報出力システム、情報出力方法、及び情報出力プログラム
CN106267780B (zh) * 2016-08-31 2019-08-20 广东小天才科技有限公司 一种运动提醒的方法及装置
US10736543B2 (en) 2016-09-22 2020-08-11 Apple Inc. Workout monitor interface
CN106844498A (zh) * 2016-12-26 2017-06-13 深圳前海勇艺达机器人有限公司 记录并管理运动量的方法及其机器人装置
CN106823348A (zh) * 2017-01-20 2017-06-13 广东小天才科技有限公司 一种运动数据管理方法、装置及***、用户设备
US10845955B2 (en) 2017-05-15 2020-11-24 Apple Inc. Displaying a scrollable list of affordances associated with physical activities
CN107898107A (zh) * 2017-11-17 2018-04-13 张伟 美容提供***及工作方法
CN107802251A (zh) * 2017-11-17 2018-03-16 广东小天才科技有限公司 一种基于穿戴设备的健康监控方法及穿戴设备
CN108309258A (zh) * 2018-01-12 2018-07-24 杭州柯氏音医疗器械有限公司 一种医用人体生理状态展示和激励装置及方法
US10854066B2 (en) 2018-04-12 2020-12-01 Apple Inc. Methods and systems for disabling sleep alarm based on automated wake detection
DK201870378A1 (en) 2018-05-07 2020-01-13 Apple Inc. DISPLAYING USER INTERFACES ASSOCIATED WITH PHYSICAL ACTIVITIES
US11317833B2 (en) 2018-05-07 2022-05-03 Apple Inc. Displaying user interfaces associated with physical activities
CN108876284B (zh) * 2018-05-14 2023-04-18 平安科技（深圳）有限公司 一种用户行为提示生成方法及终端设备
US10953307B2 (en) 2018-09-28 2021-03-23 Apple Inc. Swim tracking and notifications for wearable devices
CN111353345B (zh) * 2018-12-21 2024-04-16 上海史贝斯健身管理有限公司 提供训练反馈的方法、装置、***、电子设备、存储介质
CN109935299A (zh) * 2019-04-12 2019-06-25 北京卡路里信息技术有限公司 一种训练计划的生成方法、装置、设备和存储介质
DK201970532A1 (en) 2019-05-06 2021-05-03 Apple Inc Activity trends and workouts
CN110123335B (zh) * 2019-05-21 2022-06-28 首都医科大学宣武医院 信息处理方法、装置和***
CN113892077A (zh) 2019-06-01 2022-01-04 苹果公司 多模式活动跟踪用户界面
CN110364240A (zh) * 2019-06-24 2019-10-22 缤刻普达（北京）科技有限责任公司 健康数据监测方法、装置、计算机设备及存储介质
CN110338804A (zh) * 2019-07-02 2019-10-18 中山大学 基于动作识别的人体活跃度评估方法
CN110391008B (zh) * 2019-07-08 2022-05-03 青岛海尔科技有限公司 基于智慧家庭操作***的健身处理方法及智能家居设备
DK202070613A1 (en) 2020-02-14 2021-10-15 Apple Inc User interfaces for workout content
CN113947873B (zh) * 2020-07-17 2023-11-21 青岛海尔洗衣机有限公司 定时提醒方法、装置及电子设备
CN112587902B (zh) * 2020-11-24 2022-03-22 杭州电子科技大学 一种乒乓球运动员训练分析***
CN112927780A (zh) * 2021-02-02 2021-06-08 武汉仕代环境科技有限公司 运动计划生成方法、装置、设备及存储介质
WO2022245669A1 (fr) 2021-05-15 2022-11-24 Apple Inc. Interfaces utilisateur pour des entraînements de groupe
CN113476808A (zh) * 2021-07-09 2021-10-08 烟台工程职业技术学院(烟台市技师学院) 智能体育运动数据测量方法及装置
US11977729B2 (en) 2022-06-05 2024-05-07 Apple Inc. Physical activity information user interfaces
US11896871B2 (en) 2022-06-05 2024-02-13 Apple Inc. User interfaces for physical activity information

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6215403B1 (en) * 1999-01-27 2001-04-10 International Business Machines Corporation Wireless monitoring system
CN101474066A (zh) * 2009-01-07 2009-07-08 上海大学 带有加速度传感器的血压实时监测远程适时服务的方法与***
CN101499301A (zh) * 2008-02-03 2009-08-05 幻音科技(深圳)有限公司 根据生命体征参数实时调节输出的多媒体装置及方法
TW200950851A (en) * 2008-06-11 2009-12-16 Tonic Fitness Technology Inc Exercise system with heartbeat detection and the control method thereof
CN101879066A (zh) * 2010-03-08 2010-11-10 北京英福生科技有限公司 一种运动监测仪和运动健康数据的监测与传输方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0700661B1 (fr) * 1994-09-07 2004-12-01 Omron Healthcare Co., Ltd. Dispositif pour mesurer le travail, capable d'afficher le travail, qui doit être fait plus tard

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6215403B1 (en) * 1999-01-27 2001-04-10 International Business Machines Corporation Wireless monitoring system
CN101499301A (zh) * 2008-02-03 2009-08-05 幻音科技(深圳)有限公司 根据生命体征参数实时调节输出的多媒体装置及方法
TW200950851A (en) * 2008-06-11 2009-12-16 Tonic Fitness Technology Inc Exercise system with heartbeat detection and the control method thereof
CN101474066A (zh) * 2009-01-07 2009-07-08 上海大学 带有加速度传感器的血压实时监测远程适时服务的方法与***
CN101879066A (zh) * 2010-03-08 2010-11-10 北京英福生科技有限公司 一种运动监测仪和运动健康数据的监测与传输方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105678064A (zh) * 2015-12-31 2016-06-15 小米科技有限责任公司 健身方案推荐方法及装置
WO2018121337A1 (fr) * 2016-12-29 2018-07-05 中兴通讯股份有限公司 Procédé et appareil destinés à un message de rappel

Also Published As

Publication number Publication date
CN102804238A (zh) 2012-11-28

Similar Documents

Publication Publication Date Title
WO2013086728A1 (fr) Système et dispositif de rappel d'exercice
JP6745297B2 (ja) 位置マッピング
US10008127B2 (en) Activity recognition with activity reminders
JP5465285B2 (ja) スポーツ用電子トレーニングシステム及びトレーニングフィードバックを提供する方法
US10900992B2 (en) Calculating pace and energy expenditure from athletic movement attributes
US8540641B2 (en) Personalized activity monitor and weight management system
JP5744074B2 (ja) スポーツ用ボールを有するスポーツ用電子トレーニングシステム及びそのアプリケーション
US20110165998A1 (en) Method For Monitoring Exercise, And Apparatus And System Thereof
JP2013078593A (ja) 電子ゲーム機能を有するスポーツ用電子トレーニングシステム及びそのアプリケーション
US10803090B2 (en) Energy expenditure calculation using data from multiple devices
WO2014145809A2 (fr) Système d'entraînement sportif en boucle fermée
JP2018023681A (ja) 情報出力システム、情報出力方法、及び情報出力プログラム
TW201735861A (zh) 估算最大耗氧量和下次總運動時間的方法
US20160196326A1 (en) Energy Expenditure Calculation Using Data From Multiple Devices
US8808146B2 (en) Activity meter
US20150142371A1 (en) Recognition device of foot action and recognition method of foot action
JP6049424B2 (ja) 活動量測定端末を用いた健康管理システム
KR101377532B1 (ko) 액티그라피 기능을 수행하는 활동량 측정 장치 및 그 정보 처리 방법
EP2873367A1 (fr) Dispositif de reconnaissance d'action de pied et procédé de reconnaissance d'action de pied
JP2018180664A (ja) 非歩行時間測定機能付き歩数計

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 201180006643.1

Country of ref document: CN

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 11877518

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 11877518

Country of ref document: EP

Kind code of ref document: A1