CN111240216A - Intelligent living assistance method, system, storage medium and electronic device - Google Patents
Intelligent living assistance method, system, storage medium and electronic device Download PDFInfo
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- 230000000630 rising effect Effects 0.000 claims abstract description 42
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- 230000005484 gravity Effects 0.000 claims description 19
- 230000004622 sleep time Effects 0.000 claims description 6
- 230000000147 hypnotic effect Effects 0.000 claims description 5
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application discloses an intelligent living assistance method, a system, a storage medium and an electronic device, wherein the method comprises the following steps: judging whether a target person in a designated area is in a sleeping state; when the target person is judged to be in a sleeping state, monitoring whether the target person has the rising intention; when the target person is monitored to have the rising intention, a rising auxiliary measure is automatically taken to assist the target person to rise. The implementation mode of the application can provide more three-dimensional, modern and more intelligent life assistance for the daily life of the target person. The voice is matched to further carry out optimization and adjustment, and the voice can partially or even completely replace human guardians. The method brings convenience to the daily life of the target person, solves the problem that part of the daily life of the target person needs to be completed by other people, and improves the self-care ability of the target person to the maximum extent.
Description
Technical Field
The invention relates to the technical field of intelligent home furnishing, in particular to an intelligent daily life assisting method, an intelligent daily life assisting system, a storage medium and electronic equipment.
Background
The current intelligent household Internet of things industry is mature day by day, and more consumers can better experience service convenience brought by intelligent household products. At present, intelligent household products begin to appear on the market, and intelligent upgrading of original electric appliances is more and more popular. However, most of the existing smart home products and devices are designed for the life of young people, and few products relate to the life of old people. At present, most of household auxiliary products for old people do not have an integrated artificial intelligence technology, and most of the household auxiliary products are very basic fixing tools or simple manual appliances.
Disclosure of Invention
The invention mainly aims to provide an intelligent living assistance method, system, storage medium and electronic equipment to assist target people and improve life convenience of people with inconvenient life.
In a first aspect, an embodiment of the present application provides an intelligent living assistance method, including the following steps: judging whether a target person in a designated area is in a sleeping state; when the target person is judged to be in a sleeping state, monitoring whether the target person has the rising intention; when the target person is monitored to have the rising intention, a rising auxiliary measure is automatically taken to assist the target person to rise.
Optionally, the method further comprises the following steps: when the target person is judged not to be in a sleeping state, monitoring whether the target person has the sleeping intention; and when the target person is monitored to have the sleep intention, automatically taking sleep aid measures to assist the target person to fall asleep.
Optionally, the determining whether the target person in the designated area is in a sleep state includes the following steps: acquiring position information of a target person, and judging whether the target person is in a preset area according to the position information of the target person; when the target person is in the preset area, monitoring the action change of the characteristic part of the target person, and analyzing the action change speed of the characteristic part of the target person within a first preset time length; when the action change speed of the characteristic part of the target person within a first preset time length is smaller than a first preset speed threshold, judging that the target person is in a sleep state; and when the action change speed of the characteristic part of the target person in the first preset time length is greater than or equal to a first preset speed threshold, judging that the target person is not in a sleep state.
Optionally, when it is determined that the target person is in a sleep state, monitoring whether the target person has an intention to rise includes the following steps: when rising instruction information sent by a target person is received, judging that the target person has a rising intention; or when the current time is within a preset rising time interval, judging that the target person has a rising intention; or monitoring the action change of the characteristic part of the target person, analyzing the action change speed of the characteristic part of the target person within a second preset time period, and judging that the target person has the intention of getting up when the action change speed of the characteristic part of the target person within the second preset time period is increased along with time and is greater than or equal to a second preset speed threshold.
Optionally, when it is monitored that the target person has the intention to rise, an auxiliary measure for rising is automatically taken, including the following steps: when it is monitored that the target person has the intention of rising, monitoring the change of the position of the center of gravity of the target person; when the gravity center position of the target person is monitored to descend, analyzing the descending speed of the gravity center position of the target person within a third preset time length; when the falling speed of the gravity center position of the target person within a third preset time is greater than or equal to a third preset speed threshold, recognizing the body posture of the target person by using the human body posture recognition model according to the position information of the characteristic part of the target person, matching the body posture of the target person with a preset dangerous posture, judging that the target person is dangerous when matching is successful, and automatically taking corresponding dangerous countermeasures.
Optionally, the position of the center of gravity is determined by: acquiring three-dimensional lattice data of the designated area, determining the position information of the characteristic part of the target person according to the three-dimensional lattice data of the designated area, and determining the gravity center position of the target person according to the position information of the characteristic part of the target person.
Optionally, when it is determined that the target person is not in the sleep state, monitoring whether the target person has an intention to fall asleep includes the following steps: when receiving sleep-falling indication information sent by a target person, judging that the target person has an intention of falling asleep; or when the current time is within a preset sleep time interval, judging that the target person has the sleep intention; or monitoring the action change of the characteristic part of the target person, analyzing the action change speed of the characteristic part of the target person within a fourth preset time period, and judging that the target person has the sleep intention when the action change speed of the characteristic part of the target person within the fourth preset time period is reduced along with the time and is smaller than a fourth preset speed threshold.
Optionally, when it is monitored that the target person has an intention to fall asleep, automatically taking sleep-aid measures, comprising the steps of: when the target person is detected to have the intention to fall asleep, the light is turned off to turn off the lighting and/or play a hypnotic sound.
Optionally, the method further comprises the steps of: acquiring three-dimensional lattice data of a designated area; identifying each article in the designated area according to the three-dimensional lattice data of the designated area by using an article identification model, and determining the position information of each article; receiving a request for finding a specified item, the request including identification information of the specified item; determining the position information of the designated article according to the corresponding relation between the identification information of the designated article and each article in the identified designated area; and broadcasting and/or sending the position information of the designated object.
In a second aspect, an embodiment of the present application provides an intelligent living assistant system, including: the state judgment module is used for judging whether the target person in the designated area is in a sleeping state; the intention monitoring module is used for monitoring whether the target person has an intention to rise or not when the target person is judged to be in a sleep state; and the action auxiliary module is used for automatically taking the rising auxiliary measures to assist the target person to rise when the rising intention of the target person is monitored.
In a third aspect, embodiments of the present application provide a storage medium storing a computer program that, when executed by a processor, performs the steps of the intelligent living assistance method as described above.
In a fourth aspect, embodiments of the present application provide an electronic device comprising a processor and a storage medium storing program code, which when executed by the processor, implements the steps of the intelligent daily routine assistance method as described above.
The implementation mode of the application can provide more three-dimensional, modern and more intelligent life assistance for the daily life of the target person. The voice is matched to further carry out optimization and adjustment, and the voice can partially or even completely replace human guardians. The method brings convenience to the daily life of the target person, solves the problem that part of the daily life of the target person needs to be completed by other people, and improves the self-care ability of the target person to the maximum extent.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention, in which:
FIG. 1 is a flow chart of an intelligent living assistance method according to an exemplary embodiment of the present application;
FIG. 2 is a flow chart of an intelligent living assistance method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an intelligent living assistance system according to an exemplary embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an intelligent living assistance method, including the steps of:
s110: and judging whether the target person in the designated area is in a sleeping state.
The designated area may include a bedroom where the target person lives, or may include all rooms of a family where the target person lives, and may be specifically set as needed.
The target person may include persons who have inconvenience or difficulty in independent life, such as the elderly, children, patients, handicapped persons, pregnant women, and the like.
As an optional implementation manner, the determining whether the target person in the designated area is in a sleep state includes the following steps: acquiring position information of a target person, and judging whether the target person is in a preset area according to the position information of the target person; when the target person is in the preset area, monitoring the action change of the characteristic part of the target person, and analyzing the action change speed of the characteristic part of the target person within a first preset time length; when the action change speed of the characteristic part of the target person within a first preset time length is smaller than a first preset speed threshold, judging that the target person is in a sleep state; and when the action change speed of the characteristic part of the target person in the first preset time length is greater than or equal to a first preset speed threshold, judging that the target person is not in a sleep state.
The position information of the target person can be obtained by using technologies such as infrared detection, GPS (Global Positioning System), microwave radar, and the like. The preset area may include an area where the target person can rest, for example, a bed, a sofa, a rattan chair, and the like.
And when the target person is in the preset area, judging whether the target person is in a sleeping state according to the action change speed of the characteristic part of the target person. And when the target person moves only with small amplitude or hardly moves in the preset area, judging that the target person is in a sleeping state.
The characteristic parts of the target person may include, for example, a head, a trunk, and limbs. The action change speed of the characteristic part of the target person can be determined by dividing the displacement length of the characteristic part within the first preset time length by the first preset time length.
When the number of the characteristic parts of the target person is more than two, when the action change speeds of all the characteristic parts of the target person in a first preset time period are smaller than a first preset speed threshold value, the target person is judged to be in a sleep state, and when the action change speed of any one characteristic part of the target person in the first preset time period is larger than or equal to the first preset speed threshold value, the target person is judged not to be in the sleep state.
S120: and when the target person is judged to be in the sleep state, monitoring whether the target person has the rising intention.
As an optional implementation manner, when it is determined that the target person is in the sleep state, monitoring whether the target person has the intention of getting up includes the following steps: when rising instruction information sent by a target person is received, judging that the target person has a rising intention; or when the current time is within a preset rising time interval, judging that the target person has a rising intention; or monitoring the action change of the characteristic part of the target person, analyzing the action change speed of the characteristic part of the target person within a second preset time period, and judging that the target person has the intention of getting up when the action change speed of the characteristic part of the target person within the second preset time period is increased along with time and is greater than or equal to a second preset speed threshold.
Optionally, the rising instruction information may be actively sent, and when the rising instruction information sent by the target person is received, it is determined that the target person has the rising intention.
Optionally, the rising time of the target person may be preset, for example, the target person may rise after a period of time, the preset rising time interval is a time interval after the set period of time is over, or the target person may rise at a certain time, and the preset rising time interval is a time interval in which the certain time is.
Optionally, when the set characteristic portion of the target person is a plurality of two or more, when the motion change speed of any one characteristic portion of the target person within the second preset time period increases with time and is greater than or equal to the second preset speed threshold, it is determined that the target person has the intention to rise.
As an optional embodiment, the method further comprises the steps of: when the target person is judged not to be in a sleeping state, monitoring whether the target person has the sleeping intention; and when the target person is monitored to have the sleep intention, automatically taking sleep aid measures to assist the target person to fall asleep.
As an alternative embodiment, when it is determined that the target person is not in the sleep state, monitoring whether the target person has an intention to fall asleep includes the steps of: when receiving sleep-falling indication information sent by a target person, judging that the target person has an intention of falling asleep; or when the current time is within a preset sleep time interval, judging that the target person has the sleep intention; or monitoring the action change of the characteristic part of the target person, analyzing the action change speed of the characteristic part of the target person within a fourth preset time period, and judging that the target person has the sleep intention when the action change speed of the characteristic part of the target person within the fourth preset time period is reduced along with the time and is smaller than a fourth preset speed threshold.
Optionally, the sleep instruction information may be actively sent, and when the sleep instruction information sent by the target person is received, it is determined that the target person has the intention to fall asleep.
Alternatively, the sleep time of the target person may be preset, for example, the target person may fall asleep after a period of time, the preset sleep time interval is a time interval after the set period of time, or the target person may fall asleep at a certain time, and the preset sleep time interval is a time interval in which the certain time is located.
Optionally, when the set characteristic portion of the target person is plural, when the movement change speed of each characteristic portion of the target person within the fourth preset time period decreases with time and is less than a fourth preset speed threshold, it is determined that the target person has an intention to fall asleep.
As an alternative embodiment, when it is detected that the target person has an intention to fall asleep, an aid to fall asleep is automatically taken, comprising the following steps: when the target person is detected to have the intention to fall asleep, the light is turned off to turn off the lighting and/or play a hypnotic sound.
In the present embodiment, the sleep aid measures include, but are not limited to, turning off the light and playing hypnotic sound, and may include, for example, adjusting the temperature of an air conditioner, controlling a kitchen appliance to start breakfast preparation, reducing the sound of a television, closing a security door, and the like, and may be set as needed.
S130: when the target person is monitored to have the rising intention, a rising auxiliary measure is automatically taken to assist the target person to rise.
Wherein, the auxiliary measure of getting up, for example, when the target person is in bed, can provide the pull ring that is used for the strength of borrowing to the target person, can promote the height of head of a bed to assist the target person to get up, avoid the injury risk of muscle, skeleton. The uprisal assistance means may further comprise: lights, window blinds, etc., may be set as desired.
This embodiment provides corresponding auxiliary measure for the target personnel through the intention of detecting the target personnel of getting up or falling asleep, assists the target personnel and carries out corresponding action, carries out corresponding action for the target personnel and saves strength, reduces danger, brings the facility for the life of target personnel.
Example two
As an alternative embodiment, when it is detected that the target person has the intention to rise, the rising auxiliary measure is automatically taken, and the method comprises the following steps: when it is monitored that the target person has the intention of rising, monitoring the change of the position of the center of gravity of the target person; when the gravity center position of the target person is monitored to descend, analyzing the descending speed of the gravity center position of the target person within a third preset time length; when the falling speed of the gravity center position of the target person within a third preset time is greater than or equal to a third preset speed threshold, recognizing the body posture of the target person by using the human body posture recognition model according to the position information of the characteristic part of the target person, matching the body posture of the target person with a preset dangerous posture, judging that the target person is dangerous when matching is successful, and automatically taking corresponding dangerous countermeasures.
Wherein the position of the center of gravity is determined by: acquiring three-dimensional lattice data of the designated area, determining the position information of the characteristic part of the target person according to the three-dimensional lattice data of the designated area, and determining the gravity center position of the target person according to the position information of the characteristic part of the target person.
Optionally, the three-dimensional lattice data of the designated area may be acquired by using a microwave radar technology.
The human body posture recognition model can be constructed by a cross validation method according to the corresponding relation between the position information of the human body characteristic part and the human body posture. The method comprises the following specific steps: the radar obtains three-dimensional lattice data, carries out sectional weighted calculation on the lattice (obtaining the correct placing direction of the lattice), aligns the lattice data of the human body, identifies each part of the human body, captures the space position of each part of the human body, obtains the real-time human body posture, analyzes the real-time human body posture in a period of time to obtain the motion state of the human body (the algorithm of a convolution network and a vector machine algorithm can be used in the middle)
Hazard countermeasures may include, for example, issuing an alarm, sending an alarm message to a guardian, placing an emergency call, and so forth.
The target person can carry the alarm with him, and when the target person meets danger, the corresponding guardian is informed.
Whether the target personnel are dangerous or not is judged through the gravity center descending speed and the body posture of the target personnel, and when the target personnel are dangerous, the corresponding measures are automatically taken, so that the remote monitoring and protecting functions are provided for the target personnel, the target personnel can react as soon as possible even if the danger occurs, and the loss is minimized.
EXAMPLE III
As an optional implementation, the method further comprises the following steps: acquiring three-dimensional lattice data of a designated area; identifying each article in the designated area according to the three-dimensional lattice data of the designated area by using an article identification model, and determining the position information of each article; receiving a request for finding a specified item, the request including identification information of the specified item; determining the position information of the designated article according to the corresponding relation between the identification information of the designated article and each article in the identified designated area; and broadcasting and/or sending the position information of the designated object.
Optionally, the three-dimensional lattice data of the designated area may be acquired by using a microwave radar. The microwave radar can be set to scan the designated area once at regular intervals so as to update the position information of each article in the designated area. When a person queries the location information of an item, the latest location of the item may be announced to the person.
The article identification model can be constructed by a cross validation method according to the corresponding relation between the article and the three-dimensional lattice of the article.
The method and the device help the target personnel to determine the object to be searched by determining the position information of each object in the designated area and responding to the request for searching the designated object, avoid the problem that the target personnel consumes a large amount of physical power for searching the designated object, and particularly bring great convenience for the target personnel to determine the position of the object when the thinking and the memory of the target personnel decline.
The first, second, third and fourth preset durations can be set according to needs, and the first, second, third and fourth preset speed thresholds can be set according to needs.
The implementation mode of the application can provide more three-dimensional, modern and more intelligent life assistance for the daily life of the target person. The voice is matched to further carry out optimization and adjustment, and the voice can partially or even completely replace human guardians. The method brings convenience to the daily life of the target person, solves the problem that part of the daily life of the target person needs to be completed by other people, and improves the self-care ability of the target person to the maximum extent.
As shown in fig. 2, according to an embodiment of the present application, when the target person is an elderly person, it is determined whether the elderly person in the designated area is in a sleeping state. When the old man is in the sleep state, whether monitoring old man has the intention of getting up, when monitoring old man's intention and getting up, take the auxiliary measure of getting up automatically, for example promote the head of a bed height, drop the pull ring to help the old man to get up, avoid muscle, skeleton injured. After the old man rises, can also cooperate the real-time gesture control to the old man according to the focus falling speed of old man, notify guardians the very first time when the unexpected condition appears in the old man, when the old man seeks appointed article, can look for the appointed article of old man to the positional information of this appointed article of voice broadcast. When the old people are not in a sleeping state, whether the old people have the intention of falling asleep is monitored, and when the intention of the old people falling asleep is monitored, auxiliary measures for falling asleep, such as light-off and/or hypnosis sound playing, are automatically taken to assist the old people to fall asleep.
As shown in fig. 3, embodiments of the present application provide an intelligent living assistance system 300, comprising: a state judgment module 310, configured to judge whether a target person in a specified area is in a sleep state; the intention monitoring module 320 is used for monitoring whether the target person has an intention to rise or not when the target person is judged to be in a sleep state; and the action assisting module 330 is used for automatically taking the rising auxiliary measures to assist the target person to rise when the target person is monitored to have the rising intention.
In this embodiment, the intelligent living assistance system 300 may further include: a processor and a memory, wherein the processor is configured to execute the following program modules stored in the memory: the system comprises a state judgment module 310, an intention monitoring module 320 and an action assisting module 330, so as to assist the living and living of the target person.
Embodiments of the present application provide a storage medium storing a computer program which, when executed by a processor, performs the steps of the intelligent living assistance method as described above.
Embodiments of the present application provide an electronic device comprising a processor and a storage medium having program code stored thereon, which when executed by the processor, implement the steps of the intelligent living assistance method as described above.
It is noted that the terms used herein are merely for describing particular embodiments and are not intended to limit exemplary embodiments according to the present application, and when the terms "include" and/or "comprise" are used in this specification, they specify the presence of features, steps, operations, devices, components, and/or combinations thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein.
It should be understood that the exemplary embodiments herein may be embodied in many different forms and should not be construed as limited to only the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of these exemplary embodiments to those skilled in the art, and should not be construed as limiting the present invention.
Claims (12)
1. An intelligent living assistance method is characterized by comprising the following steps:
judging whether a target person in a designated area is in a sleeping state;
when the target person is judged to be in a sleeping state, monitoring whether the target person has the rising intention;
when the target person is monitored to have the rising intention, a rising auxiliary measure is automatically taken to assist the target person to rise.
2. The intelligent living quarters assistance method according to claim 1, characterized in that said method further comprises the steps of:
when the target person is judged not to be in a sleeping state, monitoring whether the target person has the sleeping intention;
and when the target person is monitored to have the sleep intention, automatically taking sleep aid measures to assist the target person to fall asleep.
3. The intelligent living assistant method according to claim 1 or 2, wherein the step of judging whether the target person in the designated area is in a sleeping state comprises the steps of:
acquiring position information of a target person, and judging whether the target person is in a preset area according to the position information of the target person;
when the target person is in the preset area, monitoring the action change of the characteristic part of the target person, and analyzing the action change speed of the characteristic part of the target person within a first preset time length;
when the action change speed of the characteristic part of the target person within a first preset time length is smaller than a first preset speed threshold, judging that the target person is in a sleep state;
and when the action change speed of the characteristic part of the target person in the first preset time length is greater than or equal to a first preset speed threshold, judging that the target person is not in a sleep state.
4. The intelligent living assistant method according to claim 1, wherein when determining that the target person is in a sleeping state, monitoring whether the target person has an intention to get up comprises the steps of:
when rising instruction information sent by a target person is received, judging that the target person has a rising intention; or
When the current time is within a preset rising time interval, judging that the target person has a rising intention; or
And monitoring the action change of the characteristic part of the target person, analyzing the action change speed of the characteristic part of the target person within a second preset time period, and judging that the target person has the intention of getting up when the action change speed of the characteristic part of the target person within the second preset time period is increased along with time and is greater than or equal to a second preset speed threshold.
5. The intelligent living assistant method according to claim 1, wherein when it is monitored that the target person has an intention to rise, a rising assistant measure is automatically taken, comprising the steps of:
when it is monitored that the target person has the intention of rising, monitoring the change of the position of the center of gravity of the target person;
when the gravity center position of the target person is monitored to descend, analyzing the descending speed of the gravity center position of the target person within a third preset time length;
when the falling speed of the gravity center position of the target person within a third preset time is greater than or equal to a third preset speed threshold, recognizing the body posture of the target person by using the human body posture recognition model according to the position information of the characteristic part of the target person, matching the body posture of the target person with a preset dangerous posture, judging that the target person is dangerous when matching is successful, and automatically taking corresponding dangerous countermeasures.
6. The intelligent living assistance method of claim 5, wherein the position of the center of gravity is determined by:
acquiring three-dimensional lattice data of the designated area, determining the position information of the characteristic part of the target person according to the three-dimensional lattice data of the designated area, and determining the gravity center position of the target person according to the position information of the characteristic part of the target person.
7. The intelligent living-assistant method according to claim 2, wherein monitoring whether the target person has an intention to fall asleep when it is determined that the target person is not in a sleep state comprises the steps of:
when receiving sleep-falling indication information sent by a target person, judging that the target person has an intention of falling asleep; or
When the current time is within a preset sleep time interval, judging that the target person has the sleep intention; or
And monitoring the action change of the characteristic part of the target person, analyzing the action change speed of the characteristic part of the target person within a fourth preset time period, and judging that the target person has the sleep intention when the action change speed of the characteristic part of the target person within the fourth preset time period is reduced along with the time and is smaller than a fourth preset speed threshold.
8. The intelligent living-assistant method according to claim 7, wherein when it is monitored that the target person has an intention to fall asleep, automatically taking sleep-assistant measures, comprising the steps of:
when the target person is detected to have the intention to fall asleep, the lighting is turned off and/or a hypnotic sound is played.
9. The intelligent living assistance method according to claim 1, further comprising the steps of:
acquiring three-dimensional lattice data of a designated area;
identifying each article in the designated area according to the three-dimensional lattice data of the designated area by using an article identification model, and determining the position information of each article;
receiving a request for finding a specified item, the request including identification information of the specified item;
determining the position information of the designated article according to the corresponding relation between the identification information of the designated article and each article in the identified designated area;
and broadcasting and/or sending the position information of the designated object.
10. An intelligent living assistance system, comprising:
the state judgment module is used for judging whether the target person in the designated area is in a sleeping state;
the intention monitoring module is used for monitoring whether the target person has an intention to rise or not when the target person is judged to be in a sleep state;
and the action auxiliary module is used for automatically taking the rising auxiliary measures to assist the target person to rise when the rising intention of the target person is monitored.
11. A storage medium storing a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the intelligent living assistance method according to any one of claims 1-9.
12. An electronic device comprising a processor and a storage medium storing program code which, when executed by the processor, carries out the steps of the intelligent living assistance method of any one of claims 1-9.
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