CN111882820A - Nursing system for special people - Google Patents

Nursing system for special people Download PDF

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Publication number
CN111882820A
CN111882820A CN202010751292.8A CN202010751292A CN111882820A CN 111882820 A CN111882820 A CN 111882820A CN 202010751292 A CN202010751292 A CN 202010751292A CN 111882820 A CN111882820 A CN 111882820A
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China
Prior art keywords
behavior
information
module
video
special
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CN202010751292.8A
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Chinese (zh)
Inventor
陈良
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Chongqing College of Electronic Engineering
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Chongqing College of Electronic Engineering
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Priority to CN202010751292.8A priority Critical patent/CN111882820A/en
Publication of CN111882820A publication Critical patent/CN111882820A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal operating condition and not elsewhere provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00335Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/08Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed circuit television systems, i.e. systems in which the signal is not broadcast

Abstract

The invention relates to the technical field of intelligent monitoring, and particularly discloses a nursing system for special crowds, which comprises a video acquisition module, a video analysis module, a communication module and a behavior interference module, wherein the video acquisition module is used for acquiring video information; the video analysis module is used for performing behavior analysis on the behaviors of the character objects in the video information and generating behavior analysis results, wherein the behavior analysis results comprise abnormal behaviors, dangerous behaviors and normal behaviors; the communication module is used for sending the video information to a pre-stored emergency contact when the behavior analysis result is abnormal behavior and dangerous behavior; and the behavior interference module is used for controlling the indoor player to play special voices when the behavior analysis result is dangerous behavior, wherein the special voices comprise door opening voices and conversation voices of emergency contacts. By adopting the technical scheme of the invention, the behavior of the guardian can be monitored, and the interference to the behavior of the guardian is caused when the guardian has dangerous behavior, so that the injury of the guardian to special crowds is reduced.

Description

Nursing system for special people
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a nursing system for special crowds.
Background
The special crowd refers to people needing people for life, such as the old, children, patients and the like. Because the rhythm of life is accelerated at present, most people need to spend a large amount of time busy working every day, and therefore for people who have special crowds at home and need to take care of, it is boring every day, and energy is limited. There is a strong conflict between work and time of looking after the family.
In order to relieve the contradiction that people are needed for both work and family care, currently, many people select to hire a maintainer to specially care special people who need the people for home care, so that the family can take care of the people and can work at ease.
However, the same system is not available for nursing workers, the caregivers of the nursing workers who are engaged in the market have different levels, some nursing workers with low nursing worker levels inevitably exist, and the nursing mode with low nursing worker levels is incorrect, so that special people are easily injured. From this, need one kind can monitor the action of protecting the worker, and can distinguish the action of protecting the worker, so, when the action of protecting the worker exists improper, can prevent it, avoid protecting the injury of worker to special crowd.
Disclosure of Invention
In order to solve the technical problems that the behavior of a nursing worker can be monitored and the nursing worker can be alarmed when dangerous behaviors occur, the invention provides a nursing system for special people.
The basic scheme of the invention is as follows:
the nursing system for special crowds comprises a video acquisition module and a video analysis module, wherein the video acquisition module is used for acquiring video information; also comprises a communication module and a behavior interference module,
the video analysis module is used for performing behavior analysis on the behaviors of the character objects in the video information and generating behavior analysis results, wherein the behavior analysis results comprise abnormal behaviors, dangerous behaviors and normal behaviors;
the communication module is used for sending the video information to a pre-stored emergency contact when the behavior analysis result is abnormal behavior and dangerous behavior;
and the behavior interference module is used for controlling the indoor player to play special voices when the behavior analysis result is dangerous behavior, wherein the special voices comprise door opening voices and conversation voices of emergency contacts.
The basic scheme has the beneficial effects that: by collecting the video information of a home and analyzing the behavior of the character object appearing in the video information, whether the behavior of the character object in the video is abnormal behavior, dangerous behavior or normal behavior is analyzed. If the abnormal behaviors and the dangerous behaviors exist, the fact that the nurse possibly has unfavorable behaviors to special people at home is shown, at the moment, the video information at home is sent to the emergency contact person, the emergency contact person can conveniently check the video information, and therefore the video information is prevented. If the behavior analysis result is dangerous behavior, it indicates that special crowd's health has danger, and at this moment, the special pronunciation of control indoor player, special pronunciation are including the conversation sound of opening the door, urgent contact to imitate special crowd's family and get back to home, play the warning effect to the protective worker that probably has unfavorable action to the special crowd at home, reduce the emergence to the unfavorable action of special crowd at home.
Further comprises an intelligent bracelet worn on the wrist of the special population, a face recognition module and a voice recognition module, wherein the intelligent bracelet comprises a voice acquisition module,
the face recognition module is used for recognizing a face image of a human object in the video information and judging whether a face recognition result is a special crowd or not, and if the face recognition result is not the special crowd or the face image is not recognized, sending a voice acquisition instruction to the intelligent bracelet;
the voice acquisition module is used for acquiring voice information;
the voice recognition module is used for analyzing and recognizing the voice information to generate a voice recognition result, and the voice recognition result comprises normal words, abnormal words and sensitive words; and when the voice recognition result is abnormal vocabulary and sensitive vocabulary, sending the voice information to a pre-stored emergency contact.
Has the advantages that: in order to ensure the privacy of a home, a video acquisition module is not installed in a washroom and a bedroom of the home, at the moment, when a special population is not in an area where video information can be acquired by the video acquisition module, namely the video analysis module analyzes that no person exists in the video information, the intelligent bracelet worn on the special population is controlled to acquire voice information of the special population, and the acquired voice information is subjected to sub-recognition, if abnormal words and sensitive words are contained in a voice recognition result, the situation that an escort possibly has abnormal behaviors such as abuse to the special population or abnormal situations such as collision and scream to the special population at the moment is shown, and the voice information is sent to a pre-stored emergency contact so that the emergency contact can know the emergency contact timely.
Further comprises an action recognition module, the intelligent bracelet also comprises an action acquisition module and an image acquisition module,
the face recognition module is used for recognizing a face image of a human object in the video information, judging whether a face recognition result is a special crowd or not, and sending an action information acquisition instruction to the intelligent bracelet if the face recognition result is not the special crowd or the face image is not recognized;
the action acquisition module is used for acquiring action information of the arms of the special crowd;
the action recognition module is used for recognizing action information and generating an action analysis result, the action analysis result comprises normal actions and abnormal actions, and when the action analysis result is abnormal actions, an image acquisition instruction is sent to the smart bracelet;
the image acquisition module is used for acquiring image information and sending the image information to the pre-stored emergency contact.
Has the advantages that: when special crowd is located the video acquisition module in the family and can not gather video information's region, the control is worn the special crowd's of intelligent bracelet collection on special crowd's hand action information, like the rate of motion of special crowd's hand, the rate of motion when the hand is too fast, the action information that represents current special crowd promptly is unusual action, like falling down, the convulsion of convulsion etc. this moment, gather the peripheral image information of special crowd through intelligent bracelet, and send for urgent contact, thereby urgent contact is convenient for know special crowd's the condition through image information.
Further, the intelligent bracelet is equipped with the photo detector towards one side of skin, when the photo detector detects light, sends alarm information to presetting urgent contact.
Has the advantages that: when the intelligent bracelet was taken off from hand, the photo detector can expose outside, detects light, at this moment, sends alarm information to predetermineeing urgent contact person to the intelligent bracelet of wearing is taken off on special crowd's hand, and urgent contact person can in time learn.
Further, the method for the video analysis module to perform behavior analysis on the behavior of the character object in the video comprises the following steps: and extracting the behavior characteristics of the video information, and then matching the extracted behavior characteristics with a behavior analysis result through a preset human body motion model, wherein the behavior analysis result comprises abnormal behaviors, dangerous behaviors and normal behaviors.
Has the advantages that: the human motion model is generated by training a large amount of behavior data and corresponding behavior analysis results, so that the behavior analysis results are more accurate through the behavior analysis mode.
Furthermore, the behavior interference module is also used for controlling the indoor player to play the alarm voice when the voice recognition result is abnormal vocabulary.
Has the advantages that: the abnormal words comprise words such as pain and o which are possibly sent out when a user falls down, when the voice recognition result is the abnormal words, the abnormal words indicate that unexpected conditions such as falling down and collision of special people can happen at present, at the moment, the player plays an alarm voice, a worker at home can be prompted, and the worker can check the conditions of the special people in time.
Furthermore, the intelligent bracelet also comprises an alarm module used for sending alarm information to pre-stored emergency contacts.
Has the advantages that: when special crowds suffer from safety problems, alarm information can be directly sent to pre-stored emergency contacts through the alarm module on the intelligent bracelet, so that the emergency contacts can be rescued in time.
Further, the video analysis module is used for identifying articles carried in hands of the person object in the video information, collecting behavior information of the person object and performing action professional analysis on the behavior information if the identification result is that the articles are nursed, and sending the video information to a pre-stored emergency contact if the analysis result is that the articles are not professional.
Has the advantages that: when nursing is performed on a nursing worker, action professional analysis is performed on actions of the nursing worker, so that whether the nursing worker nurses special people with professional actions is supervised.
The facial expression recognition module is used for tracking the facial image and carrying out facial expression recognition on the facial image to obtain facial expression information when the facial recognition result is a special crowd, wherein the facial expression information comprises pain, anger and normality;
the video analysis module is also used for analyzing the number information of the person object in the video information;
the communication module is also used for sending the video information to a pre-stored emergency contact when the facial expression information is pain or angry, the number of people is larger than that of the special people, and the behavior analysis result is abnormal behavior and dangerous behavior;
the behavior interference module is also used for controlling the indoor player to play alarm voice when the facial expression information is painful and the number information is equal to the number of the special people.
Has the advantages that: when special people and workers exist indoors, namely the number of people is larger than that of special people, facial expressions of the special people are painful, the workers may abuse, and at the moment, the video information is sent to the pre-stored emergency contact person, so that the emergency contact person can be conveniently rescued in time. When only the nursing work is in the room and the special population is exposed to pain, the special population can make a disease, and the nursing worker is not around, and the nursing worker can take care of the disease in time by playing the alarm voice.
Further, the motion information includes the amplitude and speed of the arm swing.
Has the advantages that: under normal conditions, the wobbling range and the speed of special crowd's arm can not increase simultaneously, and when special crowd struggled, perhaps when falling down, the wobbling range of arm and speed all strengthened. By analyzing the action information of the arms of the special population, the parameter types of analysis are expanded, and the accuracy of the analysis result is improved.
Drawings
FIG. 1 is a logic block diagram of a first embodiment of a care system for a particular group of people;
fig. 2 is a logic block diagram of a second embodiment of a care system for a particular group of people.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
A nurse system for special crowd, as shown in fig. 1, including video acquisition module, video analysis module, communication module, action interference module, speech recognition module, action recognition module, facial recognition module and wear the intelligent bracelet in special crowd's wrist:
the intelligent bracelet is provided with a light detector towards one side of the skin, specifically, the light detector is a light sensor, and when the light detector detects light, alarm information is sent to a preset emergency contact. The intelligent bracelet further comprises an alarm module used for sending alarm information to pre-stored emergency contacts, and when special people encounter danger, the alarm module on the intelligent bracelet can directly send the alarm information to the emergency contacts.
The video acquisition module is used for acquiring video information; in this embodiment, the video acquisition module is the camera to in order to ensure special crowd and the privacy of protecting worker's life, the camera is installed in sitting room and kitchen, and bedroom and bathroom are the blind area of camera.
The video analysis module is used for performing behavior analysis on the behaviors of the character objects in the video information and generating a behavior analysis result; specifically, the method for the video analysis module to perform behavior analysis on the behavior of the character object in the video includes: and extracting the behavior characteristics of the video information, and then matching the extracted behavior characteristics with a behavior analysis result through a preset human body motion model, wherein the behavior analysis result comprises abnormal behaviors, dangerous behaviors and normal behaviors. The abnormal behaviors in the embodiment include falls, strange behaviors; dangerous behaviors include a blade pointing to a person and a blow, etc. The human motion model is a neural network model formed by collecting behavior characteristics extracted from behavior actions of a large number of people when the people do various things and training corresponding behavior results.
The video analysis module is also used for identifying articles carried in the hands of the person object in the video information, collecting behavior information of the person object if the identification result is a nursing article, performing action professional analysis on the behavior information, and sending the video information to a pre-stored emergency contact if the analysis result is unprofessional.
In the embodiment, the nursing articles comprise the baby diapers, the feeding bottles and the like, the baby diapers are replaced by the baby diapers in a more exquisite way, and if the baby diapers are not wet, the baby diapers are not beneficial to the health of the baby.
The face recognition module is also used for recognizing the face image of the human object in the video information and judging whether the face recognition result is a special crowd or not, and if the face recognition result is not the special crowd or the face image is not recognized, the face recognition module sends a voice acquisition instruction and an action acquisition instruction to the intelligent bracelet. Whether the person object exists in the video information is analyzed, whether the special person is located in the blind area of the video acquisition module is judged, at the moment, the functions of voice information acquisition and action information acquisition on the intelligent bracelet are started, the voice information of the environment where the special crowd is located is acquired, and the action information of the arms of the special crowd is acquired, so that the defect that the video information acquisition cannot be carried out on the blind area where the special crowd is located is overcome.
The intelligent bracelet further comprises a voice acquisition module, an action acquisition module and an image acquisition module.
The voice acquisition module is used for acquiring voice information;
the action acquisition module is used for acquiring action information of arm movement of special crowds, and the action information comprises amplitude and speed of arm swinging.
The voice recognition module is used for analyzing and recognizing the voice information to generate a voice recognition result, and the voice recognition result comprises normal words, abnormal words and sensitive words; and when the voice recognition result is abnormal vocabulary and sensitive vocabulary, sending the voice information to a pre-stored emergency contact.
The action recognition module is used for recognizing action information and generating an action analysis result, the action analysis result comprises normal actions and abnormal actions, and when the action analysis result is abnormal actions, an image acquisition instruction is sent to the intelligent bracelet.
The image acquisition module is used for acquiring image information and sending the image information to the pre-stored emergency contact.
The communication module is used for sending the video information to a pre-stored emergency contact when the behavior analysis result is abnormal behavior and dangerous behavior;
and the behavior interference module is used for controlling the indoor player to play special voices when the behavior analysis result is dangerous behavior, wherein the special voices comprise door opening voices and conversation voices of emergency contacts. The behavior interference module is also used for controlling the indoor player to play the alarm voice when the voice recognition result is abnormal vocabulary.
The specific implementation process comprises the following steps: supposing that a scene is that a protection worker makes a special crowd A in a living room, a video acquisition module acquires video information of the living room, a video analysis module extracts behavior characteristics in the video information, the extracted behavior characteristics are matched through a human motion model to obtain a behavior analysis result, the behavior analysis result is a dangerous behavior, a communication module sends the video information to a pre-stored emergency contact, and meanwhile, a behavior interference module controls an indoor player to play door opening sound.
The method comprises the steps of assuming that a scene is that a nursing worker changes the baby diaper for the baby, collecting video information of the nursing worker changing the baby diaper for the baby by a video collecting module, identifying articles carried in hands of a person object in the video information by a video analyzing module, obtaining the baby diaper as an identification result, collecting behavior information of the person object, and carrying out behavior professional analysis on the behavior information. If the baby is turned over in the scene, the baby is padded on one side of the hip of the baby, the baby is turned over to the opposite side, the hip of the baby lies flat on the baby, and finally the baby is tied on the baby. The analysis result is professional, and at the moment, the video analysis module does not send the video information to the pre-stored emergency contact. If the nursing staff in the scene does not change the diaper for the baby according to the mode, the analysis result is not professional, and the video analysis module sends the video information to the pre-stored emergency contact person.
The scene is assumed to be that a special crowd A is in a bedroom, at the moment, the face recognition module recognizes that the face image of the human object in the video information is not the special crowd A or does not recognize the face image, sends a voice acquisition instruction and an action acquisition instruction to the intelligent bracelet, and the voice acquisition module and the action acquisition module of the intelligent bracelet respectively acquire voice information and action information of arm movement of the special crowd A. If the special crowd A falls down in the bedroom and makes an 'o' sound, the voice recognition module analyzes and recognizes the collected voice information to obtain a voice recognition result, the voice recognition result is an abnormal vocabulary, and the voice information is sent to a pre-stored emergency contact person; meanwhile, as the special crowd A falls down and the amplitude and the speed of arm movement are increased sharply, the action analysis result generated by the action recognition module for recognizing the action information is abnormal action, at the moment, the intelligent bracelet sends an image acquisition instruction, the image acquisition module on the intelligent bracelet acquires the image information, and the acquired image information is sent to the pre-stored emergency contact.
The intelligent bracelet on the hand of the special crowd A is supposed to be detached in the scene, and the optical detector on the intelligent bracelet detects an optical signal and sends alarm information to the preset emergency contact.
Example two
The difference from the first embodiment is that: as shown in fig. 2, the system further comprises a facial expression recognition module, wherein the facial expression recognition module is configured to track the facial image and perform facial expression recognition on the facial image to obtain facial expression information when the facial recognition result is a special crowd, and the facial expression information includes pain, anger and normality;
the video analysis module is also used for analyzing the number information of the person object in the video information;
the communication module is also used for sending the video information to a pre-stored emergency contact when the facial expression information is pain or angry, the number of people is larger than that of the special people, and the behavior analysis result is abnormal behavior and dangerous behavior;
the behavior interference module is also used for controlling the indoor player to play alarm voice when the facial expression information is painful and the number information is equal to the number of the special people.
When only nursing workers and special people are at home, the nursing workers often have the problem that the nursing workers do not look after the special people for a period of time when the nursing workers are busy to cook or clean, at the moment, if the special people suffer from acute diseases, the nursing workers do not perceive the abnormal conditions and are fatal to the special people, whether people look up around the special people or not is checked through the facial expressions of the special people and the number of people in the space where the special people are located, if only one special people exists, the facial expressions of the special people are painful, the special people are determined to be ill, no people are cared, the indoor player is controlled to play alarm voice, and the care workers who are doing the emergency are prompted to take care of the emergency. If the number information in the video information is larger than the number of the special people, the fact that the nursing staff and the special people are together is shown, at the moment, the facial expression of the special people is painful or angry, the fact that the special people possibly suffer from adverse behaviors is shown, and the video information is sent to the pre-stored emergency contact person, so that the emergency contact person can know specific conditions in time.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (10)

1. The nursing system for special crowds comprises a video acquisition module and a video analysis module, wherein the video acquisition module is used for acquiring video information; it is characterized by also comprising a communication module and a behavior interference module,
the video analysis module is used for performing behavior analysis on the behaviors of the character objects in the video information and generating behavior analysis results, wherein the behavior analysis results comprise abnormal behaviors, dangerous behaviors and normal behaviors;
the communication module is used for sending the video information to a pre-stored emergency contact when the behavior analysis result is abnormal behavior and dangerous behavior;
and the behavior interference module is used for controlling the indoor player to play special voices when the behavior analysis result is dangerous behavior, wherein the special voices comprise door opening voices and conversation voices of emergency contacts.
2. The system of claim 1, wherein: also comprises an intelligent bracelet worn on the wrist of a special population, a face recognition module and a voice recognition module, wherein the intelligent bracelet comprises a voice acquisition module,
the face recognition module is used for recognizing a face image of a human object in the video information and judging whether a face recognition result is a special crowd or not, and if the face recognition result is not the special crowd or the face image is not recognized, sending a voice acquisition instruction to the intelligent bracelet;
the voice acquisition module is used for acquiring voice information;
the voice recognition module is used for analyzing and recognizing the voice information to generate a voice recognition result, and the voice recognition result comprises normal words, abnormal words and sensitive words; and when the voice recognition result is abnormal vocabulary and sensitive vocabulary, sending the voice information to a pre-stored emergency contact.
3. The system of claim 2, wherein: also comprises an action recognition module, an intelligent bracelet also comprises an action acquisition module and an image acquisition module,
the face recognition module is used for recognizing a face image of a human object in the video information, judging whether a face recognition result is a special crowd or not, and sending an action information acquisition instruction to the intelligent bracelet if the face recognition result is not the special crowd or the face image is not recognized;
the action acquisition module is used for acquiring action information of the arms of the special crowd;
the action recognition module is used for recognizing action information and generating an action analysis result, the action analysis result comprises normal actions and abnormal actions, and when the action analysis result is abnormal actions, an image acquisition instruction is sent to the smart bracelet;
the image acquisition module is used for acquiring image information and sending the image information to the pre-stored emergency contact.
4. The system of claim 2, wherein: the intelligent bracelet is equipped with the photo detector towards one side of skin, when the photo detector detects light, sends alarm information to presetting urgent contact.
5. The system of claim 1, wherein: the method for the video analysis module to perform behavior analysis on the behavior of the character object in the video comprises the following steps: and extracting the behavior characteristics of the video information, and then matching the extracted behavior characteristics with a behavior analysis result through a preset human body motion model, wherein the behavior analysis result comprises abnormal behaviors, dangerous behaviors and normal behaviors.
6. The system of claim 2, wherein: the behavior interference module is also used for controlling the indoor player to play the alarm voice when the voice recognition result is abnormal vocabulary.
7. The system of claim 2, wherein: the intelligent bracelet also comprises an alarm module used for sending alarm information to pre-stored emergency contacts.
8. The system of claim 1, wherein: the video analysis module is also used for identifying articles carried in the hands of the person object in the video information, collecting behavior information of the person object if the identification result is a nursing article, performing action professional analysis on the behavior information, and sending the video information to a pre-stored emergency contact if the analysis result is unprofessional.
9. The system of claim 1, wherein: the facial expression recognition module is used for tracking the facial image and carrying out facial expression recognition on the facial image to obtain facial expression information when the facial recognition result is a special crowd, wherein the facial expression information comprises pain, anger and normality;
the video analysis module is also used for analyzing the number information of the person object in the video information;
the communication module is also used for sending the video information to a pre-stored emergency contact when the facial expression information is pain or angry, the number of people is larger than that of the special people, and the behavior analysis result is abnormal behavior and dangerous behavior;
the behavior interference module is also used for controlling the indoor player to play alarm voice when the facial expression information is painful and the number information is equal to the number of the special people.
10. The system of claim 3, wherein: the motion information includes the amplitude and speed of the arm swing.
CN202010751292.8A 2020-07-30 2020-07-30 Nursing system for special people Pending CN111882820A (en)

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