A smart elderly care service and emergency response system

Abstract

The present invention provides a smart elderly care service and emergency response system, including: a dynamic monitoring module, which is used to capture the elderly's movement line data and effective sound data to obtain the elderly's activity data; a motion state analysis module, which is used to analyze the elderly's living status based on the elderly's activity data and determine whether the elderly currently have abnormal conditions; an intelligent emergency response module, which is used to trigger the emergency response mechanism and send an alarm for help when it is determined that the elderly currently have abnormal conditions. The present invention realizes real-time monitoring of the elderly's indoor activities, overcomes the problem that manual care cannot always accompany the elderly, can timely discover abnormal problems of the elderly, ensure the safety of the elderly, and can also provide intelligent emergency help, provide guarantee for timely rescue of abnormal situations of the elderly, reduce the probability of delayed treatment, and facilitate the person responsible for accompanying to understand the elderly's movements and abnormal conditions in a timely manner.

Description

Technical Field

[0001] The present invention relates to the field of emergency response technology, and in particular to a smart elderly care service and emergency response system. Background Art

[0002] With the intensification of aging, the number of elderly people in my country is increasing. As their physical functions decline, the elderly will inevitably suffer from some diseases. This requires children or caregivers to pay real-time attention to the elderly's physical condition in order to promptly discover abnormal physical conditions of the elderly. However, due to work or daily life issues, it is inevitable that the children or caregivers are not around, resulting in the elderly's illness not being discovered in time, causing delays in the elderly's treatment. There is also the possibility that the elderly's memory declines, and they go out without permission and get lost.

[0003] Therefore, the present invention proposes a smart elderly care service and emergency response system. Summary of the invention

[0004] The present invention provides a smart elderly care service and emergency response system to solve the above problems. The invention realizes real-time monitoring of the elderly's indoor activities, overcomes the problem that manual care cannot always accompany the elderly, can timely discover abnormal problems of the elderly, ensure the safety of the elderly, and can also provide intelligent emergency assistance to provide guarantees for timely assistance to the elderly in abnormal situations, reduce the probability of delayed treatment, and facilitate the person in charge of accompanying to understand the elderly's movements and abnormal situations in a timely manner.

[0005] The present invention provides a smart elderly care service and emergency response system, including:

[0006] The dynamic monitoring module is used to capture the movement data and effective sound data of the elderly and obtain the activity data of the elderly;

[0007] The motion status analysis module is used to analyze the living status of the elderly based on their activity data and determine whether they are in any abnormal condition.

[0008] The intelligent emergency response module is used to trigger the emergency response mechanism and send an alarm for help when it is determined that the elderly are in an abnormal situation.

[0009] Preferably, in a smart elderly care service and emergency response system, the dynamic monitoring module includes:

[0010] Movement monitoring unit, which is used to monitor and collect indoor movement data of the elderly in real time based on the built-in camera of the indoor activity monitoring device;

[0011] A noise capture unit is used to collect sound signals in the living environment of the elderly based on the built-in sensor of the indoor activity monitoring device, and obtain effective living noise signals after filtering the inherent noise, and generate effective sound data based on the effective noise signals;

[0012] A data sending unit, used to generate activity data based on the elderly's movement line data and effective sound data, and send it to the motion state analysis module;

[0013] Synchronize and back up your life data, obtain the backed up life data, and upload the backed up life data to the cloud.

[0014] Preferably, in a smart elderly care service and emergency response system, the dynamic monitoring module further includes:

[0015] A target confirmation unit is used for user setting information to determine the number of elderly people in the indoor activity environment and the target elderly people;

[0016] The access monitoring unit is used to obtain the surveillance video access permission of the user's front door and determine whether the target elderly person is at home based on the surveillance video;

[0017] When any target elderly person is detected to go out, a monitoring target reduction instruction is sent to the indoor activity monitoring device, and an outing notification is sent to the person responsible for accompanying;

[0018] When it is detected that all the target elderly people have gone out, the indoor activity monitoring equipment is controlled to enter the standby mode;

[0019] When the target elderly person is detected returning home, a monitoring return instruction is sent to the indoor activity monitoring device, and the indoor activity monitoring device is controlled to enter the elderly person activity monitoring state.

[0020] Preferably, in a smart elderly care service and emergency response system, the motion state analysis module includes:

[0021] The dynamic data receiving and parsing unit is used to receive the elderly's life data in real time, and parse the life data to obtain real-time dynamic line data and real-time effective sound data;

[0022] A movement line data analysis and processing unit is used to determine the movement trajectory and movement speed of the elderly indoors based on the real-time movement line data and the pre-stored indoor scene simulation diagram, and determine whether the elderly is stationary at a certain position within the shooting angle of view of the camera of the indoor activity monitoring device according to the movement trajectory;

[0023] If yes, then obtain the motion data of the elderly person's location, identify based on the motion data, and determine whether the elderly person is in an abnormal situation;

[0024] If not, the moving speed is compared with the elderly's daily moving speed to obtain a moving speed error. When the speed error is not within a preset range, it is determined that the elderly is abnormal.

[0025] Otherwise, the elderly were judged to be living a normal life;

[0026] A noise data analysis and processing unit is used to identify whether there is a voice for help based on real-time effective sound data, and if so, determine that the elderly person is in an abnormal condition;

[0027] If not, determine whether the elderly person is currently within the shooting angle of the shooting device. If yes, ignore the real-time effective sound data and wait for the output of the moving line data judgment result;

[0028] If not, the real-time effective sound data is separated from non-speech sound to obtain non-speech sound data, and combined with the current position of the elderly, it is determined whether the non-speech sound is greater than the decibel threshold. If it is greater and the non-speech sound is short, it is determined that the elderly is abnormal;

[0029] Otherwise, the elderly are judged to be living a normal life.

[0030] Preferably, in a smart elderly care service and emergency response system, the route data analysis and processing unit includes:

[0031] The motion data analysis subunit is used to separate the motion data of the elderly and obtain the body motion data and facial expression motion data;

[0032] A data timeliness determination unit, used to determine whether the expression action data is valid, and if the facial image corresponding to the expression action data is incomplete, the expression action data is determined to be invalid;

[0033] The motion data analysis subunit is used to identify and process the valid facial expression and motion data of the elderly based on a preset facial action recognition model, and to determine whether the elderly's current expression is abnormal;

[0034] At the same time, the body movement data is used to locate the body movement of the elderly, determine the elderly’s current posture, and combine the elderly’s current location to determine whether the body movement is abnormal;

[0035] The abnormal result determination unit is used to determine that the elderly person has an abnormal situation when the elderly person's expression and movement data are valid and when the elderly person's current expression and body movements are abnormal;

[0036] Otherwise, the elderly were judged to be living a normal life;

[0037] When the facial expression and movement data of the elderly is invalid, if the elderly's body movements are abnormal, it is determined that the elderly is abnormal;

[0038] Otherwise, the elderly are judged to be living a normal life.

[0039] Preferably, in a smart elderly care service and emergency response system, the noise data analysis and processing unit includes:

[0040] The environment layout determination subunit is used to determine the layout characteristics of the indoor activity environment of the elderly based on the indoor simulation diagram, and determine the position relationship and position distance between each activity area of ​​the elderly and each indoor activity monitoring device based on the distribution characteristics and the indoor activity monitoring device installation sub-layout diagram;

[0041] At the same time, the sound insulation conditions of the elderly in each activity area are obtained, and based on the sound insulation conditions, the sound attenuation rate of the sound transmitted from each activity area to outside the activity area is determined;

[0042] The device parameter setting subunit is used to mark the activity area as a monitoring installation area and set the preset decibel value as a monitoring reference decibel value of the monitoring installation area when an indoor activity monitoring device is installed in the activity area;

[0043] When no indoor activity monitoring device is installed in the activity area, the activity area is marked as a non-monitoring installation area, and it is determined whether there are multiple monitoring devices in the indoor activity environment;

[0044] If not, determining the decibel threshold of the non-monitoring installation area on the indoor activity monitoring device based on the preset decibel value and the sound attenuation rate, combined with the position relationship between the non-monitoring installation area and the activity monitoring device, the position distance and the sound transfer function;

[0045] If so, obtain the indoor activity monitoring devices that are closest and second closest to the non-monitoring installation area as target monitoring devices respectively, and determine the decibel threshold of the non-monitoring installation area on each target monitoring device based on the preset decibel value and sound attenuation rate, combined with the positional relationship between the non-monitoring installation area and the target monitoring device, the position distance and the sound transfer function.

[0046] Preferably, in a smart elderly care service and emergency response system, the noise data analysis and processing unit further includes:

[0047] The regional internal threshold processing subunit is used to update the dynamic distance between the elderly and the indoor activity monitoring device in real time based on the elderly’s current position when the elderly is currently in the monitoring installation area, and obtain the sound transfer attenuation error based on the dynamic distance and the preset sound transfer function of the current indoor activity environment;

[0048] The monitoring reference decibel value is corrected based on the sound transmission attenuation error to obtain the decibel threshold of the elderly at the current location.

[0049] Preferably, in a smart elderly care service and emergency response system, the motion state analysis module includes:

[0050] A rule determination unit is used to obtain the historical life data of the elderly, determine the daily indoor activity trajectory of the elderly, compare the activity trajectories, determine the activity range and work and rest rules of each time period, and generate an activity prediction table based on the activity range of each time period;

[0051] The work and rest monitoring unit is used to take the elderly's life as a reference. When the elderly do not wake up or sleep within the regular work and rest time, an inquiry voice or rest reminder is issued;

[0052] When the inquiry voice does not receive a reply within a preset time, it is determined that the elderly person is suspected of having an abnormality, a suspected abnormality warning is generated, and it is synchronously sent to the associated mobile terminal;

[0053] The activity monitoring unit is used to control all life monitoring devices to perform a person search and determine the current location of the elderly when the elderly is not in the predicted activity area corresponding to the activity prediction table in a certain time period and when it is determined that the elderly has not gone out;

[0054] If all life monitoring devices fail to search for the elderly person, a suspected abnormality warning is generated and sent to the associated mobile terminal simultaneously.

[0055] Preferably, in a smart elderly care service and emergency response system, the intelligent emergency response module includes:

[0056] A co-resident detection unit, used to determine whether there are non-elderly co-residents in the indoor activity environment based on the activity data, and determine whether the non-elderly co-residents are at home based on the surveillance video;

[0057] The automatic warning unit is used to send out a voice alarm for help when it detects that the elderly are in an abnormal situation and there are non-elderly people living at home;

[0058] If there are no non-elderly people living at home, a voice call for help will be sent to the associated mobile terminal at the same time;

[0059] The manual warning unit is used for people at home to manually press buttons for help. It can send the help alarm to multiple related mobile terminals simultaneously with one button, and automatically call an ambulance for the elderly based on the principle of proximity.

[0060] Preferably, in a smart elderly care service and emergency response system, it also includes:

[0061] The emergency remote control module is used for the caregiver to control the rotation of the life monitoring equipment to check the actual condition of the elderly when receiving the help alarm notification and suspected abnormal warning, and to send voice to the elderly through the communication module of the life monitoring equipment to inquire about the actual condition of the elderly.

[0062] Compared with the prior art, the present invention has at least the following beneficial effects:

[0063] The present invention controls the life monitoring equipment through the dynamic acceleration module to capture the elderly's movement line data and effective sound data, obtains the elderly's activity data, and then analyzes the elderly's living status based on the elderly's activity data with the motion state analysis module to determine whether the elderly currently have abnormal conditions, and when it is determined that the elderly currently have abnormal conditions, triggers the emergency response mechanism through the intelligent emergency response module and sends a help alarm, which is conducive to timely discovering the elderly's abnormal conditions, and provides guarantees for the accompanying responsible person to timely discover the elderly's physical or behavioral abnormalities, ensuring the safety of the elderly. The present invention realizes real-time monitoring of the elderly's indoor activities, overcomes the problem that humans cannot always accompany the elderly, can timely discover abnormal problems of the elderly, ensure the safety of the elderly, and can also conduct intelligent emergency help, provide guarantees for timely rescue of abnormal conditions of the elderly, reduce the probability of delayed treatment, and facilitate the accompanying responsible person to understand the elderly's movements and abnormal conditions in a timely manner.

[0064] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0065] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0067] Figure 1 This is a structural diagram of a smart elderly care service and emergency response system of the present invention;

[0068] Figure 2 This is a structural diagram of a dynamic monitoring module of a smart elderly care service and emergency response system of the present invention;

[0069] Figure 3 This is a structural diagram of a motion state analysis module of a smart elderly care service and emergency response system of the present invention;

[0070] Figure 4This is a structural diagram of an intelligent emergency response module of a smart elderly care service and emergency response system of the present invention. DETAILED DESCRIPTION

[0071] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0072] Embodiment 1:

[0073] The present invention provides a smart elderly care service and emergency response system, such as Figure 1 As shown, including:

[0074] The dynamic monitoring module is used to capture the movement data and effective sound data of the elderly and obtain the activity data of the elderly;

[0075] The motion status analysis module is used to analyze the living status of the elderly based on their activity data and determine whether they are in any abnormal condition.

[0076] The intelligent emergency response module is used to trigger the emergency response mechanism and send an alarm for help when it is determined that the elderly are in an abnormal situation.

[0077] The beneficial effects of the above technical solution: the present invention controls the life monitoring equipment through the dynamic acceleration module to capture the elderly's movement line data and effective sound data, obtain the elderly's activity data, and then analyze the elderly's living status based on the elderly's activity data with the motion state analysis module to determine whether the elderly currently have abnormal conditions, and when it is determined that the elderly currently have abnormal conditions, the emergency response mechanism is triggered through the intelligent emergency response module and an alarm for help is sent, which is conducive to timely discovering the elderly's abnormal conditions, and providing guarantees for the accompanying responsible person to timely discover the elderly's physical or behavioral abnormalities, ensuring the safety of the elderly. The present invention realizes real-time monitoring of the elderly's indoor activities, overcomes the problem that manual care cannot always accompany the elderly, can timely discover abnormal problems of the elderly, ensure the safety of the elderly, and can also conduct intelligent emergency help to provide guarantees for timely rescue of abnormal situations of the elderly, reduce the probability of delayed treatment, and facilitate the accompanying responsible person to understand the elderly's movements and abnormal conditions in a timely manner.

[0078] Embodiment 2:

[0079] Based on Example 1, the dynamic monitoring module, such as Figure 2 As shown, including:

[0080] Movement monitoring unit, which is used to monitor and collect indoor movement data of the elderly in real time based on the built-in camera of the indoor activity monitoring device;

[0081] A noise capture unit is used to collect sound signals in the living environment of the elderly based on the built-in sensor of the indoor activity monitoring device, and obtain effective living noise signals after filtering the inherent noise, and generate effective sound data based on the effective noise signals;

[0082] A data sending unit, used to generate activity data based on the elderly's movement line data and effective sound data, and send it to the motion state analysis module;

[0083] Synchronize and back up your life data, obtain the backed up life data, and upload the backed up life data to the cloud.

[0084] In this embodiment, the inherent noise refers to the noise on the road or the noise generated by the operation of electrical appliances and other equipment heard by the elderly indoors.

[0085] In this embodiment, effective living noise refers to the sound produced by talking, people moving or daily life behaviors in an indoor environment.

[0086] The beneficial effects of the above technical solution: the present invention collects the activity data and sound data of the elderly through indoor activity monitoring equipment, realizes real-time monitoring of the elderly's indoor activities, provides data support for monitoring the elderly's abnormal behavior, and simultaneously backs up the life data, obtains the backup life data, and uploads the backup life data to the cloud, making it convenient for the person in charge of accompanying to view the elderly's historical activities.

[0087] Embodiment 3:

[0088] Based on Example 2, the dynamic monitoring module, such as Figure 2 As shown, it also includes:

[0089] A target confirmation unit is used for user setting information to determine the number of elderly people in the indoor activity environment and the target elderly people;

[0090] The access monitoring unit is used to obtain the surveillance video access permission of the user's front door and determine whether the target elderly person is at home based on the surveillance video;

[0091] When any target elderly person is detected to go out, a monitoring target reduction instruction is sent to the indoor activity monitoring device, and an outing notification is sent to the person responsible for accompanying;

[0092] When it is detected that all the target elderly people have gone out, the indoor activity monitoring equipment is controlled to enter the standby mode;

[0093] When the target elderly person is detected returning home, a monitoring return instruction is sent to the indoor activity monitoring device, and the indoor activity monitoring device is controlled to enter the elderly person activity monitoring state.

[0094] In this embodiment, the user setting information includes the number of elderly people set and their corresponding facial information, and can also set the sensitivity of elderly abnormality monitoring. The higher the sensitivity setting, the higher the motion monitoring accuracy and noise analysis accuracy.

[0095] The beneficial effects of the above embodiments: the present invention determines the monitoring target through the target confirmation unit and the entry and exit monitoring unit, and monitors the entry and exit of the target elderly. When any target elderly is monitored to go out, a monitoring target reduction instruction is sent to the indoor activity monitoring device to avoid false alarms caused by the indoor activity monitoring device being unable to capture the target elderly information for a long time or incorrectly capturing the information. After the target elderly goes out, an exit notification is sent to the person responsible for accompanying to ensure that the person responsible for accompanying is aware of the elderly's movements in time to avoid the chance of the elderly suffering from memory loss diseases getting lost; when all the target elderly are monitored to go out, the indoor activity monitoring device is controlled to enter the standby mode, which saves energy and protects the environment while allowing the indoor monitoring device to take a proper rest and extend the service life of the device; when the target elderly is monitored to return home, a monitoring return instruction is sent to the indoor activity monitoring device, and the indoor activity monitoring device is controlled to enter the elderly activity monitoring state to ensure that the indoor activity monitoring device can lock the target elderly in time after the elderly return home and monitor the abnormal situation of the target elderly in time.

[0096] Embodiment 4:

[0097] Based on Example 1, the motion state analysis module, such as Figure 3 As shown, including:

[0098] The dynamic data receiving and parsing unit is used to receive the elderly's life data in real time, and parse the life data to obtain real-time dynamic line data and real-time effective sound data;

[0099] A movement line data analysis and processing unit is used to determine the movement trajectory and movement speed of the elderly indoors based on the real-time movement line data and the pre-stored indoor scene simulation diagram, and determine whether the elderly is stationary at a certain position within the shooting angle of view of the camera of the indoor activity monitoring device according to the movement trajectory;

[0100] If yes, then obtain the motion data of the elderly person's location, identify based on the motion data, and determine whether the elderly person is in an abnormal situation;

[0101] If not, the moving speed is compared with the elderly's daily moving speed to obtain a moving speed error. When the speed error is not within a preset range, it is determined that the elderly is abnormal.

[0102] Otherwise, the elderly were judged to be living a normal life;

[0103] A noise data analysis and processing unit is used to identify whether there is a voice for help based on real-time effective sound data, and if so, determine that the elderly person is in an abnormal condition;

[0104] If not, determine whether the elderly person is currently within the shooting angle of the shooting device. If yes, ignore the real-time effective sound data and wait for the output of the moving line data judgment result;

[0105] If not, the real-time effective sound data is separated from non-speech sound to obtain non-speech sound data, and combined with the current position of the elderly, it is determined whether the non-speech sound is greater than the decibel threshold. If it is greater and the non-speech sound is short, it is determined that the elderly is abnormal;

[0106] Otherwise, the elderly are judged to be living a normal life.

[0107] In this embodiment, the daily moving speed of the elderly is determined based on the average moving speed of the elderly under normal circumstances.

[0108] In this embodiment, the indoor scene simulation diagram refers to a three-dimensional simulation diagram of the house where the elderly live.

[0109] In this embodiment, the moving speed error refers to the difference between the current moving speed of the elderly and the elderly's daily moving speed.

[0110] In this embodiment, the non-speech sound being short means that the duration of the non-speech sound is less than 1 second.

[0111] The beneficial effects of the above technical solution: when the elderly are within the shooting angle of view of the camera of the indoor activity monitoring device, the present invention determines whether the elderly are in an abnormal situation through the elderly's movement line data and action data; when the elderly are not within the shooting angle of view of the camera of the indoor activity monitoring device, the present invention determines whether the elderly are in an abnormal situation through the sound made by the elderly, and identifies whether there is a voice for help. If there is no voice for help, the current situation of the elderly is judged according to the non-voice sound, ensuring that the elderly fall in the area that the indoor activity monitoring device cannot shoot or the sound caused by the elderly falling and hitting other objects due to the inability to speak normally due to the illness can be captured in time, achieving the purpose of quickly discovering the elderly's abnormal situation after the onset of the disease, and avoiding delaying the rescue time of the elderly. The present invention provides a comprehensive method for judging abnormal behavior of the elderly, ensuring the safety of the elderly, and ensuring that the abnormal situation of the elderly indoors can be discovered in time and rescued in time.

[0112] Embodiment 5:

[0113] On the basis of Embodiment 4, the moving line data analysis and processing unit includes:

[0114] The motion data analysis subunit is used to separate the motion data of the elderly and obtain the body motion data and facial expression motion data;

[0115] A data timeliness determination unit, used to determine whether the expression action data is valid, and if the facial image corresponding to the expression action data is incomplete, the expression action data is determined to be invalid;

[0116] The motion data analysis subunit is used to identify and process the valid facial expression and motion data of the elderly based on a preset facial action recognition model, and to determine whether the elderly's current expression is abnormal;

[0117] At the same time, the body movement data is used to locate the body movement of the elderly, determine the elderly’s current posture, and combine the elderly’s current location to determine whether the body movement is abnormal;

[0118] The abnormal result determination unit is used to determine that the elderly person has an abnormal situation when the elderly person's expression and movement data are valid and when the elderly person's current expression and body movements are abnormal;

[0119] Otherwise, the elderly were judged to be living a normal life;

[0120] When the facial expression and movement data of the elderly is invalid, if the elderly's body movements are abnormal, it is determined that the elderly is abnormal;

[0121] Otherwise, the elderly are judged to be living a normal life.

[0122] The beneficial effects of the above technical solution: the present invention judges the behavior of the elderly through their body movements and facial expressions. When the facial expressions are valid, it can be determined that the elderly has an abnormal situation only when the body movements and facial expressions are synchronously abnormal, which effectively improves the accuracy of judging the elderly's abnormal situation. When the facial expressions are invalid, the abnormal judgment result of the body movements is used alone to judge whether the elderly has an abnormal situation, which improves the sensitivity of judging abnormal situations and is conducive to timely discovering abnormal situations of the elderly.

[0123] Embodiment 6:

[0124] Based on Example 4, the noise data analysis and processing unit includes:

[0125] The environment layout determination subunit is used to determine the layout characteristics of the indoor activity environment of the elderly based on the indoor simulation diagram, and determine the position relationship and position distance between each activity area of ​​the elderly and each indoor activity monitoring device based on the distribution characteristics and the indoor activity monitoring device installation sub-layout diagram;

[0126] At the same time, the sound insulation conditions of the elderly in each activity area are obtained, and based on the sound insulation conditions, the sound attenuation rate of the sound transmitted from each activity area to outside the activity area is determined;

[0127] The device parameter setting subunit is used to mark the activity area as a monitoring installation area and set the preset decibel value as a monitoring reference decibel value of the monitoring installation area when an indoor activity monitoring device is installed in the activity area;

[0128] When no indoor activity monitoring device is installed in the activity area, the activity area is marked as a non-monitoring installation area, and it is determined whether there are multiple monitoring devices in the indoor activity environment;

[0129] If not, determining the decibel threshold of the non-monitoring installation area on the indoor activity monitoring device based on the preset decibel value and the sound attenuation rate, combined with the position relationship between the non-monitoring installation area and the activity monitoring device, the position distance and the sound transfer function;

[0130] If so, obtain the indoor activity monitoring devices that are closest and second closest to the non-monitoring installation area as target monitoring devices respectively, and determine the decibel threshold of the non-monitoring installation area on each target monitoring device based on the preset decibel value and sound attenuation rate, combined with the positional relationship between the non-monitoring installation area and the target monitoring device, the position distance and the sound transfer function.

[0131] In this embodiment, when there are multiple monitoring devices in the indoor activity environment, it can be determined that the elderly person has an abnormal condition only if multiple target monitoring devices reach the decibel threshold at the same time.

[0132] In this embodiment, the preset decibel value ranges from [20, 100], and the user can set it by himself or use the factory default value.

[0133] In this embodiment, the sound insulation condition includes the wall sound insulation condition and the door sound insulation condition.

[0134] In this embodiment, the sound attenuation rate refers to the attenuation ratio of the walls and doors of the activity area (eg, bedroom, bathroom, kitchen, study, etc.) to the sound propagation.

[0135] In this embodiment, the monitoring reference decibel value refers to a reference value for setting a decibel threshold of a monitoring installation area, and the decibel threshold of the area is corrected on the basis of the monitoring reference decibel value.

[0136] Beneficial effects of the above technical solution: The present invention determines the positional relationship and positional distance between each indoor activity area and each indoor activity monitoring device through the environmental layout determination subunit. And determine the sound insulation of each indoor activity area and the sound attenuation rate of the sound insulation; then divide all indoor activity areas into monitoring installation areas and non-monitoring installation areas through the device parameter setting subunit, and determine the decibel threshold of each non-monitoring installation area for each indoor life monitoring device according to the number of life monitoring devices in the indoor activity environment, expand the effective monitoring range of the life monitoring device, ensure that even the blind spots of the life monitoring device can realize the monitoring of abnormal conditions of the elderly with sound, and improve the timeliness of the system's discovery of abnormal conditions of the elderly.

[0137] Embodiment 7:

[0138] Based on Example 6, the noise data analysis and processing unit further includes:

[0139] The regional internal threshold processing subunit is used to update the dynamic distance between the elderly and the indoor activity monitoring device in real time based on the elderly’s current position when the elderly is currently in the monitoring installation area, and obtain the sound transfer attenuation error based on the dynamic distance and the preset sound transfer function of the current indoor activity environment;

[0140] The monitoring reference decibel value is corrected based on the sound transmission attenuation error to obtain the decibel threshold of the elderly at the current location.

[0141] In this embodiment, the sound transfer function refers to the sound energy attenuation function during the sound propagation process in the current indoor environment. The sound transfer attenuation error refers to the difference in decibel values ​​detected at the sound emitting position and the sound receiving position due to a certain distance between the sound receiving position (i.e., the position of the indoor activity monitoring device) and the sound emitting position (i.e., the position of the elderly).

[0142] The beneficial effects of the above technical solution are as follows: when the elderly person is currently in the monitoring installation area, the dynamic distance between the elderly person and the indoor activity monitoring device is updated in real time based on the elderly person's current position through the internal threshold processing subunit of the area, and the sound transfer attenuation error is obtained based on the dynamic distance and the preset sound transfer function of the current indoor activity environment; the monitoring reference decibel value is corrected based on the sound transfer attenuation error to obtain the decibel threshold of the elderly person at the current position, and the decibel threshold is adjusted according to the distance between the elderly person and the activity monitoring device, which is beneficial to improve the accuracy of the non-speech sound judgment results, avoid the situation where the elderly person is far away from the monitoring installation area due to the large indoor area and cannot monitor the lower falling sound or the shortcoming sound deliberately made by the elderly, and is beneficial to improve the timeliness of sending abnormal situations of the elderly.

[0143] Embodiment 8:

[0144] Based on Example 1, the motion state analysis module, such as Figure 3 As shown, including:

[0145] A rule determination unit is used to obtain the historical life data of the elderly, determine the daily indoor activity trajectory of the elderly, compare the activity trajectories, determine the activity range and work and rest rules of each time period, and generate an activity prediction table based on the activity range of each time period;

[0146] The work and rest monitoring unit is used to take the elderly's life as a reference. When the elderly do not wake up or sleep within the regular work and rest time, an inquiry voice or rest reminder is issued;

[0147] When the inquiry voice does not receive a reply within a preset time, it is determined that the elderly person is suspected of having an abnormality, a suspected abnormality warning is generated, and it is synchronously sent to the associated mobile terminal;

[0148] The activity monitoring unit is used to control all life monitoring devices to perform a person search and determine the current location of the elderly when the elderly is not in the predicted activity area corresponding to the activity prediction table in a certain time period and when it is determined that the elderly has not gone out;

[0149] If all life monitoring devices fail to search for the elderly person, a suspected abnormality warning is generated and sent to the associated mobile terminal simultaneously.

[0150] In this embodiment, the associated mobile terminal includes multiple mobile devices, which may include mobile terminals of multiple accompanying responsible persons. It can also establish a relationship with the community's security alarm terminal after obtaining the community security early warning authority. When the elderly send an abnormal situation, the community security will receive a help alarm, which is convenient for the elderly who live alone or are the only elderly people living in the community, so that the elderly who send abnormal situations can get help in time.

[0151] In this embodiment, the activity prediction table is generated based on the activity range of the elderly in each time period of the day.

[0152] In this embodiment, the inquiry voice refers to the voice automatically sent by the system to ask whether the elderly are there, for example, "Is Zhang San there?" The rest reminder refers to reminding the elderly that it is time to go to bed.

[0153] The beneficial effects of the above technical solution: the present invention determines the activity range and work and rest rules of each target elderly person in each time period through the rule determination unit, and reminds the elderly person to rest or sends a question voice to ensure that the elderly person can answer normally when the elderly person does not get up or go to bed according to their corresponding work and rest rules through the work and rest monitoring unit, thereby determining whether the elderly person has abnormalities; then, through the activity monitoring unit, according to the activity prediction table, the elderly person's abnormal activities are judged. When the elderly person is not in the predicted activity area corresponding to the activity prediction table in a certain time period, when it is determined that the elderly person has not gone out, all life monitoring devices are controlled to search for people and determine the current location of the elderly person; if all life monitoring devices have not searched for the elderly person, a suspected abnormal warning is generated and sent to the associated mobile terminal synchronously, thereby improving the accuracy of detecting abnormal situations of the elderly person. The present invention expands the way of detecting abnormal situations of the elderly and improves the probability of detecting abnormal behaviors of the elderly.

[0154] Embodiment 9:

[0155] Based on Example 1, the intelligent emergency response module, such as Figure 4 As shown, including:

[0156] A co-resident detection unit, used to determine whether there are non-elderly co-residents in the indoor activity environment based on the activity data, and determine whether the non-elderly co-residents are at home based on the surveillance video;

[0157] The automatic warning unit is used to send out a voice alarm for help when it detects that the elderly are in an abnormal situation and there are non-elderly people living at home;

[0158] If there are no non-elderly people living at home, a voice call for help will be sent to the associated mobile terminal at the same time;

[0159] The manual warning unit is used for people at home to manually press buttons for help. It can send the help alarm to multiple related mobile terminals simultaneously with one button, and automatically call an ambulance for the elderly based on the principle of proximity.

[0160] The beneficial effects of the above technical solution: the present invention determines whether there are non-elderly co-residents at home through the co-resident detection unit, thereby providing a basis for selecting the sending target of the help alarm of the automatic early warning unit. When it is monitored that the elderly are currently in an abnormal situation, if there are non-elderly co-residents at home, a voice help alarm is issued to attract the attention of the non-elderly co-residents, and the abnormal situation of the elderly is discovered in time to take emergency measures. If there are no non-elderly co-residents at home, while issuing the voice help alarm, a help alarm notification is issued to the associated mobile terminal. While attracting the attention of the co-resident elderly, people who are capable of rescuing the elderly are notified, avoiding the situation where other elderly people are unable to rescue and delay the rescue of the elderly when the elderly are alone or at home with other elderly people. It can also avoid the situation where misjudgment leads to the wrong call for an ambulance and wastes medical resources. When people at home manually press the button for help, the help alarm is synchronously sent to multiple associated mobile terminals with one button, and an ambulance is automatically called for the elderly based on the principle of proximity. While ensuring that the accompanying person or other relevant personnel are notified in time, it is ensured that the elderly can get professional help in time.

[0161] Embodiment 10:

[0162] Based on Example 1, a smart elderly care service and emergency response system further includes:

[0163] The emergency remote control module is used for the caregiver to control the rotation of the life monitoring equipment to check the actual condition of the elderly when receiving the help alarm notification and suspected abnormal warning, and to send voice to the elderly through the communication module of the life monitoring equipment to inquire about the actual condition of the elderly.

[0164] The beneficial effects of the above technical solution: after receiving the help alarm notification and the suspected abnormal warning, the person responsible for accompanying the elderly can control the life monitoring equipment to rotate through the emergency remote control module to check the actual situation of the elderly, and send voice to the elderly through the communication module of the life monitoring equipment to inquire about the actual situation of the elderly and confirm the abnormal situation of the elderly. This can help the person responsible for accompanying to eliminate false alarms for emergency rescue and help the person responsible for accompanying to understand the real situation of the elderly in time and take emergency measures in time (for example, call 120, seek help from nearby security personnel or relatives and friends, etc.).

[0165] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A smart elderly care service and emergency response system, characterized in that: include: The dynamic monitoring module is used to capture the movement data and effective sound data of the elderly and obtain the activity data of the elderly; The motion status analysis module is used to analyze the living status of the elderly based on their activity data and determine whether they are in any abnormal condition. The intelligent emergency response module is used to trigger the emergency response mechanism and send an alarm for help when it is determined that the elderly are in an abnormal situation; The motion state analysis module includes: The dynamic data receiving and parsing unit is used to receive the elderly's life data in real time, and parse the life data to obtain real-time dynamic line data and real-time effective sound data; A movement line data analysis and processing unit is used to determine the movement trajectory and movement speed of the elderly indoors based on the real-time movement line data and the pre-stored indoor scene simulation diagram, and to determine whether the elderly is stationary at a certain position within the shooting angle of view of the camera of the indoor activity monitoring device according to the movement trajectory; If yes, then obtain the motion data of the elderly person's location, identify based on the motion data, and determine whether the elderly person is in an abnormal situation; If not, the moving speed is compared with the elderly's daily moving speed to obtain a moving speed error. When the speed error is not within a preset range, it is determined that the elderly is abnormal. Otherwise, the elderly were judged to be living a normal life; The noise data analysis and processing unit is used to identify whether there is a voice for help based on real-time effective sound data, and if so, it is determined that the elderly person is in an abnormal situation; If not, determine whether the elderly person is currently within the shooting angle of the shooting device. If yes, ignore the real-time effective sound data and wait for the output of the moving line data judgment result; If not, the real-time effective sound data is separated from non-speech sound to obtain non-speech sound data, and combined with the current position of the elderly, it is determined whether the non-speech sound is greater than the decibel threshold. If it is greater and the non-speech sound is short, it is determined that the elderly is abnormal; Otherwise, the elderly were judged to be living a normal life; Noise data analysis and processing unit, including: The environment layout determination subunit is used to determine the layout characteristics of the indoor activity environment of the elderly based on the indoor simulation diagram, and determine the position relationship and position distance between each activity area of ​​the elderly and each indoor activity monitoring device based on the distribution characteristics and the indoor activity monitoring device installation sub-layout diagram; At the same time, the sound insulation conditions of the elderly in each activity area are obtained, and based on the sound insulation conditions, the sound attenuation rate of the sound transmitted from each activity area to outside the activity area is determined; The device parameter setting subunit is used to mark the activity area as a monitoring installation area and set the preset decibel value as a monitoring reference decibel value of the monitoring installation area when an indoor activity monitoring device is installed in the activity area; When no indoor activity monitoring device is installed in the activity area, the activity area is marked as a non-monitoring installation area, and it is determined whether there are multiple monitoring devices in the indoor activity environment; If not, determining the decibel threshold of the non-monitoring installation area on the indoor activity monitoring device based on the preset decibel value and the sound attenuation rate, combined with the position relationship between the non-monitoring installation area and the activity monitoring device, the position distance and the sound transfer function; If so, obtain the indoor activity monitoring devices that are closest and second closest to the non-monitoring installation area as target monitoring devices respectively, and determine the decibel threshold of the non-monitoring installation area on each target monitoring device based on the preset decibel value and sound attenuation rate, combined with the positional relationship between the non-monitoring installation area and the target monitoring device, the position distance and the sound transfer function.

2. According to claim 1, a smart elderly care service and emergency response system is characterized in that: Dynamic monitoring module, including: Movement monitoring unit, which is used to monitor and collect indoor movement data of the elderly in real time based on the built-in camera of the indoor activity monitoring device; A noise capture unit is used to collect sound signals in the living environment of the elderly based on the built-in sensor of the indoor activity monitoring device, and obtain effective living noise signals after filtering the inherent noise, and generate effective sound data based on the effective noise signals; A data sending unit, used to generate activity data based on the elderly's movement line data and effective sound data, and send it to the motion state analysis module; Synchronize and back up your life data, obtain the backed up life data, and upload the backed up life data to the cloud.

3. According to claim 2, a smart elderly care service and emergency response system is characterized in that: The dynamic monitoring module also includes: A target confirmation unit is used for user setting information to determine the number of elderly people in the indoor activity environment and the target elderly people; The access monitoring unit is used to obtain the surveillance video access permission of the user's front door and determine whether the target elderly person is at home based on the surveillance video; When any target elderly person is detected to go out, a monitoring target reduction instruction is sent to the indoor activity monitoring device, and an outing notification is sent to the person responsible for accompanying; When it is detected that all the target elderly people have gone out, the indoor activity monitoring equipment is controlled to enter the standby mode; When the target elderly person is detected returning home, a monitoring return instruction is sent to the indoor activity monitoring device, and the indoor activity monitoring device is controlled to enter the elderly person activity monitoring state.

4. According to claim 1, a smart elderly care service and emergency response system is characterized in that: The dynamic line data analysis and processing unit includes: The motion data analysis subunit is used to separate the motion data of the elderly and obtain the body motion data and facial expression motion data; A data timeliness determination unit, used to determine whether the expression action data is valid, and if the facial image corresponding to the expression action data is incomplete, the expression action data is determined to be invalid; The motion data analysis subunit is used to identify and process the valid facial expression and motion data of the elderly based on a preset facial action recognition model, and to determine whether the elderly's current expression is abnormal; At the same time, the body movement data is used to locate the body movement of the elderly, determine the elderly’s current posture, and combine the elderly’s current location to determine whether the body movement is abnormal; The abnormal result determination unit is used to determine that the elderly person has an abnormal situation when the elderly person's expression and movement data are valid and when the elderly person's current expression and body movements are abnormal; Otherwise, the elderly were judged to be living a normal life; When the facial expression and movement data of the elderly is invalid, if the elderly's body movements are abnormal, it is determined that the elderly is abnormal; Otherwise, the elderly are judged to be living a normal life.

5. According to claim 1, a smart elderly care service and emergency response system is characterized in that: The noise data analysis and processing unit also includes: The regional internal threshold processing subunit is used to update the dynamic distance between the elderly and the indoor activity monitoring device in real time based on the elderly’s current position when the elderly is currently in the monitoring installation area, and obtain the sound transfer attenuation error based on the dynamic distance and the preset sound transfer function of the current indoor activity environment; The monitoring reference decibel value is corrected based on the sound transmission attenuation error to obtain the decibel threshold of the elderly at the current location.

6. The smart elderly care service and emergency response system according to claim 1 is characterized in that: Motion state analysis module, including: A rule determination unit is used to obtain the historical life data of the elderly, determine the daily indoor activity trajectory of the elderly, compare the activity trajectories, determine the activity range and work and rest rules of each time period, and generate an activity prediction table based on the activity range of each time period; The work and rest monitoring unit is used to take the elderly's life as a reference. When the elderly do not wake up or sleep within the regular work and rest time, an inquiry voice or rest reminder is issued; When the inquiry voice does not receive a reply within a preset time, it is determined that the elderly person is suspected of having an abnormality, a suspected abnormality warning is generated, and it is synchronously sent to the associated mobile terminal; The activity monitoring unit is used to control all life monitoring devices to perform a person search and determine the current location of the elderly when the elderly is not in the predicted activity area corresponding to the activity prediction table in a certain time period and when it is determined that the elderly has not gone out; If all life monitoring devices fail to search for the elderly person, a suspected abnormality warning is generated and sent to the associated mobile terminal simultaneously.

7. The smart elderly care service and emergency response system according to claim 1 is characterized in that: Intelligent emergency response module, including: A co-resident detection unit, used to determine whether there are non-elderly co-residents in the indoor activity environment based on the activity data, and determine whether the non-elderly co-residents are at home based on the surveillance video; The automatic warning unit is used to send out a voice alarm for help when it detects that the elderly are in an abnormal situation and there are non-elderly people living at home; If there are no non-elderly people living at home, a voice call for help will be sent to the associated mobile terminal at the same time; The manual warning unit is used for people at home to manually press buttons for help. It can send the help alarm to multiple related mobile terminals simultaneously with one button, and automatically call an ambulance for the elderly based on the principle of proximity.

8. The smart elderly care service and emergency response system according to claim 1 is characterized in that: Also includes: The emergency remote control module is used for the caregiver to control the rotation of the life monitoring equipment to check the actual condition of the elderly when receiving the help alarm notification and suspected abnormal warning, and to send voice to the elderly through the communication module of the life monitoring equipment to inquire about the actual condition of the elderly.

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