CN102982652A - Realizing method and system for on-demand monitoring for elder nursing - Google Patents
Realizing method and system for on-demand monitoring for elder nursing Download PDFInfo
- Publication number
- CN102982652A CN102982652A CN2012105613421A CN201210561342A CN102982652A CN 102982652 A CN102982652 A CN 102982652A CN 2012105613421 A CN2012105613421 A CN 2012105613421A CN 201210561342 A CN201210561342 A CN 201210561342A CN 102982652 A CN102982652 A CN 102982652A
- Authority
- CN
- China
- Prior art keywords
- information
- monitoring
- old man
- data
- daily life
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Accommodation For Nursing Or Treatment Tables (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to a realizing method for on-demand monitoring for elder nursing. The method is characterized in that the method comprises the steps of S01, receiving daily life monitoring data of the elder, S02, conducting routine monitoring analysis or deep monitoring analysis on the received monitoring data, and S03, triggering a corresponding alarm strategy for alarming according to an analysis judgment result, wherein the routine monitoring analysis is to judge whether the daily life of the elder is normal by taking first class information and second class information into consideration; the first class information comprises environmental hazard information, elder call information, elder falling information or long rest information; the second class information is routine daily life activity information; the deep monitoring analysis is to judge whether the daily life of the elder is normal by taking third class information into consideration; and the third class information is information except the first class information and the second class information. According to the method, the on-demand classification of the monitoring data of the elder is realized by an analysis module, the effectiveness of monitoring early warning can be ensured effectively, a system is simple to implement, and the method has a better practical value.
Description
Technical field
The present invention relates to the old man and nurse technical field, particularly a kind of as required implementation method and the system of monitoring for old man's nurse.
Background technology
The known technology that existing security technology possesses comprises: supervisory system: refer to the note abnormalities variation tendency of phenomenon and system core index of observed data by acquisition system, usually be divided into once in a while monitoring (not timing monitoring), regularly monitoring, full-time monitoring etc.Warning system based on strategy: after the monitoring analysis observed data, according to the situation of finding data, notify the related personnel to take corresponding action.Old man care system: mainly refer to occur in the monitoring system of old man's unscheduled event with it, usually formed by a distress system and a fall detection system, be used for finding that Falls Among Old People and old man initiatively call for help when meeting accident.
And according to the system of above-mentioned technological development video monitoring platform is arranged: adopt video camera to take in real time monitored object, in order to when particular event occurs, can in time react; This needed the people to come the Real Time Observation video data in the past, had judged whether to occur to need the event of response; Because the appearance of real-time video analytical technology, some can clearly defined event can have been differentiated by software; Along with the continuous decline with the computational resource price updated of Video Analysis Technology, judge that by software anomalous event will further popularize; But in addition, software is judged the accuracy that also can't reach satisfied or is needed extraordinary powerful computing power in the event that can clearly define (such as Falls Among Old People and go out etc.), so that it can't be used in daily family's monitoring.
The non-video monitor supervision platform: because video monitoring needs personnel to observe video image or adopts expensive popular feeling software and a large amount of computational resource, so monitoring cost is high, is not suitable for extensive use; Thereby a large amount of automatic monitorings employing non-video form, its Monitoring Data can be processed and be preserved by computing machine more easily.
Alarm platform based on strategy: after the monitoring analysis observed data, according to the analysis result of data, judge whether that the event that needs to pay close attention to occurs, if having, notifies the related personnel to take corresponding action.
On time monitoring: observing system state (comprising collections, transmit and analyze data) regularly, this is present the most frequently used mode, but may omit crucial observed data, what cause monitoring is incomplete.
Full-time monitoring: gather continuously or intactly and the analysis monitoring data, because consumption of natural resource is huge, can only be applied on the very important monitored object of minority.
Yet existing automatic monitoring technology is based on fixing monitoring frequency and granularity, can't carry out the automatic adjusting that " microcosmic " and " macroscopic view " observed according to the monitoring analysis result; Therefore, if monitoring not " microcosmic " will be difficult to find to embody abnormal phenomena in detail; If all adopt " microcosmic " monitoring, will cause the generation of mass data, cause the high cost of data transmission, storage and analysis, be difficult to seating surface to masses' application; In addition, not " macroscopic view " also will be difficult to find the delicate variation on the secular trend.
Summary of the invention
In view of this, the purpose of this invention is to provide a kind of as required implementation method of monitoring for old man's nurse, can realize adjusting accordingly and alarm according to the demand of monitor data.
The present invention adopts following scheme to realize: a kind of as required implementation method of monitoring for old man's nurse is characterized in that: step S01: receive at home Monitoring Data of old man; Step S02: the Monitoring Data that receives is carried out routine monitoring analysis or depth monitoring analysis; Described routine monitoring analysis is in conjunction with type I information and Equations of The Second Kind information whether old man's daily life life normally to be judged, this type I information comprises that environmental hazard information, old man call for help information, Falls Among Old People information or long-time static information, and this Equations of The Second Kind information is daily daily life action message; Described depth monitoring analysis is in conjunction with the 3rd category information whether old man's daily life life to be judged normally that the 3rd category information is the information except above-mentioned type I information and Equations of The Second Kind information; Step S03: trigger corresponding warning strategies according to the result who analyzes the judgement gained and carry out alarm.
In an embodiment of the present invention, described routine monitoring analyze accuracy is lower than a threshold value as a result the time, proceed described depth monitoring analysis.
In an embodiment of the present invention, described daily daily life action message comprises and gets up, go to bed, goes to toilet, takes a shower, prepares for a meal or have dinner.
In an embodiment of the present invention, described the 3rd category information comprises and makes a phone call, sees TV, does washing, reads newspaper, writing, raising pets, flowers and plants cultivation, receives or go out.
In an embodiment of the present invention, also comprise the information of analyzing gained is carried out history data store, call during for follow-up monitoring analysis.
Another object of the present invention provides a kind of as required system of monitoring for old man's nurse, it is characterized in that comprising:
One routine monitoring analysis engine, in order in conjunction with type I information and Equations of The Second Kind information whether old man's daily life life is normally judged, this type I information comprises that environmental hazard information, old man call for help information, Falls Among Old People information or long-time static information, and this Equations of The Second Kind information is daily daily life action message;
Whether one depth monitoring analysis engine is in order to normally to judge that to old man's daily life life the 3rd category information is the information except above-mentioned type I information and Equations of The Second Kind information in conjunction with the 3rd category information;
One switching management module, this switching management module realizes the switching to routine monitoring analysis engine and depth monitoring analysis engine; And
One warning strategies server is according to the result of described routine monitoring analysis engine and depth monitoring analysis engine and scope and the alarm mode of the in advance strategy decision alarm of setting.
In an embodiment of the present invention, also comprise a historical data base, in order to deposit Monitoring Data in the past, call during for follow-up monitoring analysis.
In an embodiment of the present invention, described daily daily life action message comprises and gets up, go to bed, goes to toilet, takes a shower, prepares for a meal or have dinner.
In an embodiment of the present invention, the 3rd category information comprises and makes a phone call, sees TV, does washing, reads newspaper, writing, raising pets, flowers and plants cultivation, receives or go out.
In an embodiment of the present invention, also comprise a current data diverter module, this current data distribution module is stored in current Monitoring data flow in the database, according to current monitoring state data is sent to corresponding monitoring analysis engine simultaneously.
The present invention realizes as required classification to old man's monitor data by analysis module, can effectively guarantee the validity of monitoring and early warning, and system realizes simply having preferably practical value.
Description of drawings
Fig. 1 is the inventive method schematic flow sheet.
Fig. 2 is principle of the invention schematic flow sheet.
Fig. 3 is system principle diagram of the present invention.
Fig. 4 is that living behavious of the present invention is surveyed the determinacy synoptic diagram.
Embodiment
The present invention will be further described below in conjunction with drawings and Examples.
As shown in Figure 1, present embodiment provides a kind of as required implementation method of monitoring for old man's nurse, it is characterized in that: step S01: receive at home Monitoring Data of old man; Step S02: the Monitoring Data that receives is carried out routine monitoring analysis or depth monitoring analysis; Described routine monitoring analysis is that type I information and Equations of The Second Kind information are analyzed, and this type I information comprises that environmental hazard information, old man call for help information, Falls Among Old People information or long-time static information, and this Equations of The Second Kind information is daily daily life action message; Described depth monitoring analysis is that the 3rd category information is analyzed, and the 3rd category information is the information except above-mentioned type I information and Equations of The Second Kind information; Step S03: trigger corresponding warning strategies according to analysis result and carry out alarm.
In an embodiment of the present invention, described routine monitoring analyze accuracy is lower than a threshold value as a result the time, proceed described depth monitoring analysis.
Emphasis of the present invention is can obtain disposal route and flow process in the situation of sufficient Monitoring Data in system, its core is to monitor as required, namely along with the generation of Monitoring Data result, difference according to the result, dynamically adjust the use of Monitoring Data, the definite sign that in routine monitoring, notes abnormalities that says, but can't determine or obtain further details, just forward depth monitoring to from routine monitoring, analyze the more related data of unusual sign " front and back ", carry out " " microscopic observation " and remote " macroscopic observation " of " closely ".Its principle as shown in Figure 2.A key of the present invention is to judge that whether current analysis result is determined, that is to say whether to be enough to make to have reasonable deterministic conclusion.
The below is described further the concrete application of old man's living behavious monitoring.At first, we are divided three classes old man's Monitoring Data: the first kind is the event information that needs summary responses, such as, smog, gas leakage appear, and the old man presses distress call button, Falls Among Old People etc.; Be also included within and do not detect any old man's activity in the special time and also do not find the sign that the old man gos out; The discovery of any type I information will cause at once alarm; Equations of The Second Kind comprises the main daily living behavious information of old man, the time of generation, duration etc.; Comprise getting up/go to bed, go to toilet, take a shower, prepare for a meal/have dinner etc.; Whether occur in normal time range, duration scope and successive range in, undesiredly then send corresponding alarm if judging old man's living behavious that whether this class activity of old man depends on normally that the information that collects reflects is compared with health with old man's habits and customs; The 3rd class comprises any other all information that occur between the main living behavious, above-mentioned routine monitoring analysis draw accuracy is lower than a threshold value as a result the time, then proceed described depth monitoring analysis, see whether these data meet the 3rd category information, do not meet and then produce corresponding alarm.These three classes data are as shown in the table:
Old man's monitor data classification
Here judging according to the first kind and Equations of The Second Kind information whether old man's daily life life normally is called " routine monitoring analysis ", be called " depth monitoring analysis " judging in conjunction with the analysis of the 3rd category information.In addition, be noted that:
Above-mentioned environmental hazard information comprises fire alarm, gas leakage information etc., and this fire alarm information is that the Fire inductor by routine sends, and this gas leakage information is to be sent by the coal gas pick-up unit.
Old man's call information is to be sent by the nursing instrument that the old man uses, and the old man sends by the distress call button that triggers this nursing instrument.
Falls Among Old People information, it is the old man's nursing instrument that uses by the old man, cooperate the data of the sensor collections such as acceleration, gyroscope to judge by indoor positioning, because Falls Among Old People, the data meeting abrupt change of those sensors, therefore can judge Falls Among Old People, old man's nursing instrument then sends the information of this Falls Among Old People.
Whether long-time static information is to move by sensor collection old men such as acceleration, gyroscope or passometers.
Getting up/going to bed is that pressure transducer by being located on the bed cooperates the current time to judge.
Going to toilet is pressure transducer by toilet, utilizes whether pressurized of toilet, judges; Men's family can be judged by monitoring bowl water threshold switch.
Whether shower is to open by the switch valve that detects shower, judges.
Prepare for a meal is to judge by judging whether the kitchen range stove is opened.
Making a phone call, whether detection line is busy judges.
See that TV detects TV and whether opens.
Whether laundry detects washing machine and starts.
Read newspaper, write/creation, raising pets, flowers and plants cultivate, receive, go out: waiting generally is when product uses for the first time, and the user sets according to prompting first, by time+reference value that the position cooperates the user to set be basic, judge.It is worth mentioning that: those judge it is not 100% accurate, because those behaviors are not crucial, therefore, as long as reach a threshold value, namely draw corresponding judged result, and this result can be for reference.
Because depth monitoring needs more data, this resource that will cause the aspects such as data transfer, storage, analyzing and processing to take is more, cost is higher, only adopts routine monitoring in the ordinary course of things and does not adopt depth monitoring.But when routine monitoring show unusual and we can not affirm fully the time, we switch to depth monitoring from routine monitoring, in order to obtain more detailed abnormal information, in order to make suitable response.
See also Fig. 3, present embodiment provides a kind of as required system of monitoring for old man's nurse, it is characterized in that comprising:
One routine monitoring analysis engine, in order in conjunction with type I information and Equations of The Second Kind information whether old man's daily life life is normally judged, this type I information comprises that environmental hazard information, old man call for help information, Falls Among Old People information or long-time static information, and this Equations of The Second Kind information is daily daily life action message;
Whether one depth monitoring analysis engine is in order to normally to judge that to old man's daily life life the 3rd category information is the information except above-mentioned type I information and Equations of The Second Kind information in conjunction with the 3rd category information;
One switching management module, this switching management module realizes the switching to routine monitoring analysis engine and depth monitoring analysis engine; And
One warning strategies server is according to the result of described routine monitoring analysis engine and depth monitoring analysis engine and scope and the alarm mode of the in advance strategy decision alarm of setting.
Better, this system also comprises a historical data base in the present embodiment, in order to deposit Monitoring Data in the past, calls during for follow-up monitoring analysis, with auxiliary scope, frequency and the granularity of adjusting follow-up data analysis.
In the present embodiment, described classification information just is not repeated here with above-mentioned the same.In an embodiment, also comprise a current data diverter module, this current data distribution module is stored in current Monitoring data flow in the database, according to current monitoring state data is sent to corresponding monitoring analysis engine simultaneously.
Concrete, in one embodiment, routine monitoring analysis engine (Regular Monitoring:RM): this is the monitoring modular under the conventional state, also is the initial monitoring modular of acquiescence, adopts different monitoring frequencies according to different application; If do not note abnormalities phenomenon, the phenomenon that perhaps notes abnormalities but can judge definitely unusual reason will continue to adopt conventional analysis;
Depth monitoring analysis engine (In-depth Monitoring:IM): when adopting the conventional analysis phenomenon that notes abnormalities, but in the not high situation of determinacy, with the penetration depth monitoring state, adopt more Monitoring Data to confirm unusual generation; After event analysis finishes, perhaps cause confirming unusual and alarm and response, perhaps cause cancelling abnormality alarming, will be returned to routine monitoring;
Switching management module: this module determines when switch to depth monitoring from routine monitoring, when returns to routine monitoring from depth monitoring; Its realization is a cover event perception determinacy index (Certainty Index:CI).For different main living behavious, because the sensor that adopts is different, the determinacy of the living behavious that it detects is different, special sensor, its determinacy is higher, general sensor, its determinacy is lower, such as, getting up and go to bed with the detection of mattress sensor is very accurately, will be lower but survey the determinacy of preparing for a meal with the switch sensor of refrigerator doors and kitchen cabinet door.Fig. 4 has illustrated living behavious to survey determinacy, and it shows the corresponding CI of the present embodiment currently used sensor of son.Adopt different sensors may change CI; Mediate the CI of state can be further according to this unusual dangerous Further Division: danger is high is divided into the low classification of CI; need penetration depth monitoring, the dangerous low high classification of CI that is divided into keeps routine monitoring; such as the unusual low CI that draws that goes to toilet, the unusual high CI that draws takes a shower.
Therefore, when the living behavious abnormal information is (sensor of this determinacy height can pass through user or Default Value) when coming from the high sensor of determinacy, need not to switch to depth monitoring and can determine to give alarm, but when the living behavious abnormal information is when coming from the low sensor of determinacy, then switch to depth monitoring, until determine to be really unusual and alarm, to obtain response, perhaps be defined as non-unusually, then switch back routine monitoring.
Current data diverter module: on the one hand current Monitoring data flow is stored in the database, according to current monitoring state (routine monitoring or depth monitoring) data is sent to corresponding monitoring analysis engine simultaneously.
Historical data base: deposit Monitoring Data in the past, call during for monitoring analysis.
Warning strategies server: according to the result of analysis engine and scope and the alarm mode of the in advance strategy decision alarm of setting.
The above only is preferred embodiment of the present invention, and all equalizations of doing according to the present patent application claim change and modify, and all should belong to covering scope of the present invention.
Claims (10)
1. one kind is used for the as required implementation method of monitoring that the old man nurses, and it is characterized in that:
Step S01: receive at home Monitoring Data of old man;
Step S02: the Monitoring Data that receives is carried out routine monitoring analysis or depth monitoring analysis; Described routine monitoring analysis is in conjunction with type I information and Equations of The Second Kind information whether old man's daily life life normally to be judged, this type I information comprises that environmental hazard information, old man call for help information, Falls Among Old People information or long-time static information, and this Equations of The Second Kind information is daily daily life action message; Described depth monitoring analysis is in conjunction with the 3rd category information whether old man's daily life life to be judged normally that the 3rd category information is the information except above-mentioned type I information and Equations of The Second Kind information;
Step S03: trigger corresponding warning strategies according to the result who analyzes the judgement gained and carry out alarm.
2. a kind of as required implementation method of monitoring for old man nurse according to claim 1 is characterized in that: described routine monitoring analyze accuracy is lower than a threshold value as a result the time, proceed described depth monitoring analysis.
3. a kind of as required implementation method of monitoring for old man nurse according to claim 1, it is characterized in that: described daily daily life action message comprises gets up, go to bed, goes to toilet, takes a shower, prepares for a meal or have dinner.
4. a kind of as required implementation method of monitoring for old man nurse according to claim 1 is characterized in that: described the 3rd category information comprises makes a phone call, sees TV, does washing, reads newspaper, writing, raising pets, flowers and plants cultivation, receives or go out.
5. a kind of as required implementation method of monitoring for old man's nurse according to claim 1 is characterized in that: also comprise the information of analyzing gained is carried out history data store, call during for follow-up monitoring analysis.
6. one kind is used for the as required system of monitoring that the old man nurses, and it is characterized in that comprising:
One routine monitoring analysis engine, in order in conjunction with type I information and Equations of The Second Kind information whether old man's daily life life is normally judged, this type I information comprises that environmental hazard information, old man call for help information, Falls Among Old People information or long-time static information, and this Equations of The Second Kind information is daily daily life action message;
Whether one depth monitoring analysis engine is in order to normally to judge that to old man's daily life life the 3rd category information is the information except above-mentioned type I information and Equations of The Second Kind information in conjunction with the 3rd category information;
One switching management module, this switching management module realizes the switching to routine monitoring analysis engine and depth monitoring analysis engine; And
One warning strategies server is according to the result of described routine monitoring analysis engine and depth monitoring analysis engine and scope and the alarm mode of the in advance strategy decision alarm of setting.
7. a kind of as required implementation method of monitoring for old man's nurse according to claim 6 is characterized in that: also comprise a historical data base, in order to deposit Monitoring Data in the past, call during for follow-up monitoring analysis.
8. a kind of as required implementation method of monitoring for old man nurse according to claim 6, it is characterized in that: described daily daily life action message comprises gets up, go to bed, goes to toilet, takes a shower, prepares for a meal or have dinner.
9. a kind of as required implementation method of monitoring for old man nurse according to claim 6 is characterized in that: the 3rd category information comprises makes a phone call, sees TV, does washing, reads newspaper, writing, raising pets, flowers and plants cultivation, receives or go out.
10. a kind of as required implementation method of monitoring for old man nurse according to claim 6, it is characterized in that: also comprise a current data diverter module, this current data distribution module is stored in current Monitoring data flow in the database, according to current monitoring state data is sent to corresponding monitoring analysis engine simultaneously.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012105613421A CN102982652A (en) | 2012-12-21 | 2012-12-21 | Realizing method and system for on-demand monitoring for elder nursing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012105613421A CN102982652A (en) | 2012-12-21 | 2012-12-21 | Realizing method and system for on-demand monitoring for elder nursing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102982652A true CN102982652A (en) | 2013-03-20 |
Family
ID=47856576
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012105613421A Pending CN102982652A (en) | 2012-12-21 | 2012-12-21 | Realizing method and system for on-demand monitoring for elder nursing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102982652A (en) |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103617701A (en) * | 2013-11-01 | 2014-03-05 | 青岛海尔软件有限公司 | Method for monitoring daily life of elderly people living alone |
| CN103617700A (en) * | 2013-11-01 | 2014-03-05 | 青岛海尔软件有限公司 | System for monitoring daily life of elderly people living alone |
| CN103914948A (en) * | 2014-04-23 | 2014-07-09 | 西安电子科技大学 | Senior citizen nursing system based on intelligent mobile terminal and nursing method thereof |
| CN104966376A (en) * | 2014-07-22 | 2015-10-07 | 上海万沣信息技术有限公司 | Intelligent nursing method and system thereof |
| CN105336091A (en) * | 2014-07-16 | 2016-02-17 | 北京奇虎科技有限公司 | Method of carrying out alarm aiming at portable positioning equipment, apparatus and system |
| CN105700488A (en) * | 2014-11-27 | 2016-06-22 | 中国移动通信集团公司 | Processing method and system of target human body activity information |
| CN105765639A (en) * | 2013-09-19 | 2016-07-13 | 乌纳利沃尔有限公司 | Assist device and system |
| CN106846727A (en) * | 2016-12-28 | 2017-06-13 | 广东格兰仕集团有限公司 | The early warning system and its control method of contingency are monitored based on home appliance |
| CN107016832A (en) * | 2017-04-14 | 2017-08-04 | 中云开源数据技术（上海）有限公司 | A kind of enclosed environment personnel vigor state detection and analysis early warning system and method |
| CN107296612A (en) * | 2017-06-13 | 2017-10-27 | 泰康保险集团股份有限公司 | Automatic monitoring method, system and the terminal device of children under guardianship |
| CN107610415A (en) * | 2017-10-12 | 2018-01-19 | 上海斐讯数据通信技术有限公司 | A kind of alarm method and wireless terminal |
| CN108538023A (en) * | 2018-04-16 | 2018-09-14 | 广州蓝豹智能科技有限公司 | Behavior monitors method, apparatus and equipment |
| CN109326348A (en) * | 2017-07-31 | 2019-02-12 | 陈兆炜 | Analysis prompting system and method |
| CN109637078A (en) * | 2018-11-16 | 2019-04-16 | 万翼科技有限公司 | A kind of abnormality monitoring method of intelligent wearable device |
| CN110164080A (en) * | 2018-01-17 | 2019-08-23 | 深圳海斯凯医学技术有限公司 | Management system based on long-distance intelligent health and safety monitoring big data |
| CN110491084A (en) * | 2019-09-05 | 2019-11-22 | 佛山市云米电器科技有限公司 | A kind of intelligent and safe alarm method based on bio signal |
| US10687193B2 (en) | 2013-09-19 | 2020-06-16 | Unaliwear, Inc. | Assist device and system |
| CN112907893A (en) * | 2021-02-07 | 2021-06-04 | 杭州车玲珑科技有限公司 | Intelligent behavior abnormity monitoring system and working method thereof |
| CN113391369A (en) * | 2021-06-24 | 2021-09-14 | 深圳国实智能有限公司 | Activity state detection method, apparatus and computer readable storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102646320A (en) * | 2012-04-26 | 2012-08-22 | 北京恒通安信科技有限公司 | Method for realizing intelligent nursing for living of old men |
-
2012
- 2012-12-21 CN CN2012105613421A patent/CN102982652A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102646320A (en) * | 2012-04-26 | 2012-08-22 | 北京恒通安信科技有限公司 | Method for realizing intelligent nursing for living of old men |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10051410B2 (en) | 2013-09-19 | 2018-08-14 | Unaliwear, Inc. | Assist device and system |
| CN105765639A (en) * | 2013-09-19 | 2016-07-13 | 乌纳利沃尔有限公司 | Assist device and system |
| US10687193B2 (en) | 2013-09-19 | 2020-06-16 | Unaliwear, Inc. | Assist device and system |
| CN103617700A (en) * | 2013-11-01 | 2014-03-05 | 青岛海尔软件有限公司 | System for monitoring daily life of elderly people living alone |
| CN103617701A (en) * | 2013-11-01 | 2014-03-05 | 青岛海尔软件有限公司 | Method for monitoring daily life of elderly people living alone |
| CN103914948A (en) * | 2014-04-23 | 2014-07-09 | 西安电子科技大学 | Senior citizen nursing system based on intelligent mobile terminal and nursing method thereof |
| CN103914948B (en) * | 2014-04-23 | 2016-04-13 | 西安电子科技大学 | Based on old man care system and the method thereof of intelligent mobile terminal |
| CN105336091A (en) * | 2014-07-16 | 2016-02-17 | 北京奇虎科技有限公司 | Method of carrying out alarm aiming at portable positioning equipment, apparatus and system |
| CN104966376A (en) * | 2014-07-22 | 2015-10-07 | 上海万沣信息技术有限公司 | Intelligent nursing method and system thereof |
| CN105700488A (en) * | 2014-11-27 | 2016-06-22 | 中国移动通信集团公司 | Processing method and system of target human body activity information |
| CN106846727A (en) * | 2016-12-28 | 2017-06-13 | 广东格兰仕集团有限公司 | The early warning system and its control method of contingency are monitored based on home appliance |
| CN107016832B (en) * | 2017-04-14 | 2019-12-27 | 中云开源数据技术（上海）有限公司 | Closed environment personnel vitality state detection analysis early warning system and method |
| CN107016832A (en) * | 2017-04-14 | 2017-08-04 | 中云开源数据技术（上海）有限公司 | A kind of enclosed environment personnel vigor state detection and analysis early warning system and method |
| CN107296612A (en) * | 2017-06-13 | 2017-10-27 | 泰康保险集团股份有限公司 | Automatic monitoring method, system and the terminal device of children under guardianship |
| CN109326348B (en) * | 2017-07-31 | 2022-09-09 | 陈兆炜 | Analysis prompting system and method |
| CN109326348A (en) * | 2017-07-31 | 2019-02-12 | 陈兆炜 | Analysis prompting system and method |
| CN107610415A (en) * | 2017-10-12 | 2018-01-19 | 上海斐讯数据通信技术有限公司 | A kind of alarm method and wireless terminal |
| CN110164080A (en) * | 2018-01-17 | 2019-08-23 | 深圳海斯凯医学技术有限公司 | Management system based on long-distance intelligent health and safety monitoring big data |
| CN108538023A (en) * | 2018-04-16 | 2018-09-14 | 广州蓝豹智能科技有限公司 | Behavior monitors method, apparatus and equipment |
| CN109637078A (en) * | 2018-11-16 | 2019-04-16 | 万翼科技有限公司 | A kind of abnormality monitoring method of intelligent wearable device |
| CN110491084A (en) * | 2019-09-05 | 2019-11-22 | 佛山市云米电器科技有限公司 | A kind of intelligent and safe alarm method based on bio signal |
| CN110491084B (en) * | 2019-09-05 | 2021-07-13 | 佛山市云米电器科技有限公司 | Intelligent safety alarm method based on biological signal |
| CN112907893A (en) * | 2021-02-07 | 2021-06-04 | 杭州车玲珑科技有限公司 | Intelligent behavior abnormity monitoring system and working method thereof |
| CN113391369A (en) * | 2021-06-24 | 2021-09-14 | 深圳国实智能有限公司 | Activity state detection method, apparatus and computer readable storage medium |
| CN113391369B (en) * | 2021-06-24 | 2024-02-23 | 深圳国实智能有限公司 | Method and device for detecting activity state and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102982652A (en) | Realizing method and system for on-demand monitoring for elder nursing | |
| US12046366B1 (en) | Health and wellness management technology | |
| CN104334075B (en) | Biometric attributes abnormality detection system with adjustment notice | |
| Alemdar et al. | ARAS human activity datasets in multiple homes with multiple residents | |
| CN104639907B (en) | A kind of intelligent security guard method and system based on mobile terminal | |
| US10188295B2 (en) | Integrated sensor network methods and systems | |
| CN106777954A (en) | The intelligent guarding system and method for a kind of Empty nest elderly health | |
| WO2016131633A1 (en) | Monitoring activities of daily living of a person with graphical elements | |
| CN206178415U (en) | Intelligent endowment remote management system | |
| CN104104910B (en) | It is a kind of to carry out two-way live shared terminal and method with intelligent monitoring | |
| CN103093124A (en) | Method for restricting the usage of electronic equipment and electronic equipment | |
| CN107633653A (en) | A kind of intelligent home care system | |
| US20130176128A1 (en) | Activity trend detection and notification to a caregiver | |
| EP3259730A1 (en) | Monitoring activities of daily living of a person | |
| CN104305966B (en) | Method and device for setting interface of monitor | |
| CN103543699A (en) | Smart home management system based on smart box | |
| CN107296612A (en) | Automatic monitoring method, system and the terminal device of children under guardianship | |
| CN106777973A (en) | The automatic method for formulating training plan, device and server | |
| Suryadevara et al. | Wireless sensors network based safe home to care elderly people: A realistic approach | |
| JP2012208793A (en) | Security system | |
| CN206075496U (en) | A kind of intelligent home care system | |
| CN106452487A (en) | Intelligent worship recording system | |
| JP2003233715A (en) | System and method for living information administration and living information processing device | |
| CN205847453U (en) | A kind of wisdom gold eyeball people based on intelligent video technology and the Activity recognition system of thing | |
| CN106453894B (en) | The method whether detecting communication apparatus passes into silence |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20130320 |