CN103279687A - Individualized health service system based on context aware - Google Patents
Individualized health service system based on context aware Download PDFInfo
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Abstract
The invention discloses an individualized health service system based on context aware. The individualized health service system comprises a context obtaining module, a context modeling module, an intelligent process module and a system application module, wherein the context obtaining module collects original contexts of home devices and domestic users and sends the original contexts to the context modeling module; the context modeling module uses a layered mode to establish a domain knowledge ontology and a context ontology, and both the domain knowledge ontology and the context ontology use ontology languages for description so as to achieve unification of the original contexts; the intelligent process module performs data mining and analyzing to a high-level context to determine behavior patterns of the home devices and domestic users, stores the behavior patterns in a context base, and compares the behavior patterns in the context base with information in a domain knowledge base to analyze abnormal conditions of the behavior patterns of the domestic users; and the home devices provide corresponding services for the domestic users according to the behavior patterns stored in the context base, and the system application module formulates health services for the domestic users according to analysis conditions of the behavior patterns of the domestic users.
Description
Technical field
The present invention relates to a kind of system of areas of information technology, relate in particular in a kind of Smart Home the personalized health services system based on context-aware.
Background technology
In recent years, the Smart Home concept has been deep among the national life gradually, and constantly affects people's thinking.Numerous competent communities begin to install and use intelligent domestic system, and it is safe, comfortable and convenient for what live and bring to experience intelligent residence.A good intelligent domestic system should be the remarkable assistant of family life, it can carry out organic combination by the present information communication technology and family's various device, home equipment is planned as a whole management and control, optimize occupant's living environment by the every information in the Collection and analysis people daily life, comfortable safe, high-quality family life space is provided.A good intelligent domestic system can be controlled household electrical appliance flexibly, the monitoring health condition of people, and for any abnormal conditions are offered suggestions and information feedback, for each kinsfolk formulates personalized health plan, and the promotion user carries out this plan.
How to carry out the analysis demand at the various data in the Smart Home health services system, the data Intellectual Analysis Technology, comprise a plurality of links such as data integration and integration technology, data warehouse and data mining technology, data display and system integration technology, research and establishment just becomes at present a focus of research in the industry towards the information multidimensional model of personalized service.EasyLiving is a project of Microsoft Research exploitation, and this technical scheme is supported the dynamic interconnection of various device in the intelligent environment.This general fit calculation project support intersystem communications can realize object and people's track and localization, and Visualization Mechanism is provided.But the focus of EasyLiving project is that in the control room devices, the health that lacks the occupant provides personalized service.The patent publication No. be CN 102736607 A's " a kind of household safety and Health remote supervision system based on data fusion ", a kind of household safety and Health remote supervision system that is assemblied in intelligent wheel chair is disclosed, can carry out Environmental security and the monitoring of health index by this system, report to the police according to the dangerous information that detects.But this patented technology towards user scope limit to very much, do not fit into the health service of domestic consumer.
Summary of the invention
The purpose of this invention is to provide a kind of have stronger interactive capability and inferential capability, can be based on context-aware provide the system of personalized health service for domestic consumer.
In order to achieve the above object, the invention discloses a kind of personalized health services system based on context-aware, be used for, it is characterized in that comprising for the domestic consumer provides individual diagnosis and treatment and health plan service according to the context of collecting:
Context acquisition module: be used for gathering home equipment and domestic consumer's original context, and the original context of gathering is sent to the context modeling module;
The context modeling module: be used for to adopt the pattern of layering to set up domain knowledge body and context ontology, described domain knowledge body comprises the relation between entity, entity attribute and described entity and the entity attribute in the field; Described context ontology is for the specific tasks concept of the entity of describing described field and the relation between the concept; Described context ontology is expanded the entity attribute of described domain knowledge body, and described domain knowledge body and context ontology all adopt Ontology Language to be described, and then realizes the unification of original context, generates high-rise context;
Intelligent processing module: described high-rise context is carried out data mining and analysis, determine domestic consumer and home equipment behavior pattern and with the behavior pattern storage in library up and down; The behavior pattern that is stored in the described library is up and down compared with the information in the domain knowledge base that stores described domain knowledge body, analyze the abnormal conditions of family's user behavior pattern;
The system applies module: home equipment provides corresponding service according to the behavior pattern of storing in the described library up and down for the domestic consumer; According to the analysis situation of domestic consumer's behavior pattern, for the domestic consumer formulates health service.
Preferably, described context acquisition module further comprises home equipment context acquisition module and domestic consumer's context acquisition module, the original context that described home equipment context acquisition module is collected home equipment by the sensor that is laid on the home equipment comprises the attribute of home equipment, the humiture of domestic environment; Described domestic consumer's context acquisition module is collected domestic consumer's original context by the human-computer interaction device, comprises domestic consumer's essential information, every physiological parameter of domestic consumer, domestic consumer position.
Preferably, described intelligent processing module also comprises rule base, this rule base stores domestic consumer's rule and home equipment rule, described domestic consumer's rule, home equipment rule and domestic consumer's daily behavior pattern, health status, home environment and relevant to the desired value of health, described domestic consumer's rule is directly arranged by the domestic consumer and adjusts according to actual conditions, and described home equipment rule is given corresponding home equipment by collection and the sending controling instruction of regulation engine managing context.
More excellent, described system applies module at the analysis situation of domestic consumer's behavior pattern, comprises health service that health plan, prompting, detection, assessment and health plan optimize and revise for the domestic consumer formulates according to the rule of storing in the described rule base.
Preferably, described system applies module further comprises the basic performance element of system, carries out communication by information mechanism between the basic performance element of this system.
Preferably, the described wireless-transmission network that is laid in the sensor on the home equipment adopts the ZigBee wireless network of star-network topological structure.
The present invention sets up context ontology and domain knowledge body by the pattern of layering, and carries out unified statement with Ontology Language, and then has realized the processing of the original context of gathering is made its uniform format.By historical context information being analyzed and being compared with the content of domain knowledge base, can realize better intelligent inference, make the user's that home equipment can obtain according to analysis behavior pattern provide corresponding service in the regular hour for the domestic consumer.System architecture of the present invention is more flexible, can be according to user's wish update rule, and system's performance element is all highly personalized, and its implementation can not influence each other.The present invention can just find in early days and reminds some unfavorable habits and customs, formulates health plan and also supervises the domestic consumer to carry out, and is conducive to kinsfolk user's health.
Description of drawings
Fig. 1 is the system schematic of the personalized health services system based on context-aware of the present invention;
Fig. 2 is the system architecture synoptic diagram of the personalized health services system based on context-aware of the present invention;
Fig. 3 is the workflow diagram of the personalized health services system based on context-aware of the present invention;
Fig. 4 is the modeling synoptic diagram of the personalized health services system context modeling module based on context-aware of the present invention.
Embodiment
In order to make purpose of the present invention, technical scheme, beneficial effect clearer, below in conjunction with drawings and Examples, the present invention is described in further details.Should be appreciated that specific embodiment described herein only is used for explaining the present invention, and be not used in restriction the present invention.
Relational language related among the present invention defines and initialism:
RFID:Radio Frequency Identification, REID, be a kind of wireless communication technology, can identify specific objective and read and write related data by radio signals, and need not to set up machinery between recognition system and the specific objective or optics contacts.
Context: be used for describing any information of entity in the Smart Home environment, entity can be various kinds of equipment and sensor in domestic consumer or the room.
WSN:Wireless Sensor Network wireless sensor network.
Agent: the application program that can collect certain information automatically or carry out certain service.
The personalized health services system that the present invention is based on context-aware is based on the data fusion technology, takes full advantage of context-aware and calculates, and auxiliary domestic consumer cultivates healthy lifestyles more.As shown in Figure 1 and Figure 2, the personalized health services system that the present invention is based on context-aware comprises: context acquisition module, context modeling module, intelligent processing module and system applies module.
The context acquisition module is mainly used in gathering home equipment and domestic consumer's original context, and the original context of gathering is sent to the context modeling module.Described context acquisition module further comprises home equipment context acquisition module and domestic consumer's context acquisition module, the original context that described home equipment context acquisition module is collected home equipment by the sensor that is laid on the home equipment comprises the attribute of home equipment, the humiture of domestic environment; Described domestic consumer's context acquisition module is collected domestic consumer's original context by the human-computer interaction device, comprises domestic consumer's essential information, every physiological parameter of domestic consumer, domestic consumer position.
The context acquisition module is one of system core module of the present invention.In the Smart Home environment, need obtain two class contexts, a class is the object context, various attributes of equipment etc. in the domestic environment for example, this category information obtains by the sensor senses that is laid on the home equipment; Second class is user's context, describes domestic consumer's information, for example the every physiological status value of domestic consumer, position etc.Each domestic consumer's hobby and custom can generate automatically according to domestic consumer's historical context, and domestic consumer's personal information can directly be imported by the various man-machine interfaces of interpersonal interactive device, also can be by control inputs such as voice.
Be laid in sensor on the home equipment and comprise the sensor of general type, as humiture, pressure transducer and RFID sensor.The wireless-transmission network that is laid in the home equipment upper sensor adopts the ZigBee wireless network of star-network topological structure.The sensor of general type inserts the ZigBee wireless network by embedded microcontroller, and the RFID sensor then directly inserts the ZigBee wireless network.
In the perfect relatively Smart Home environment of function, home equipment and the sensor of laying thereon have diversified characteristics, kinsfolk's user's request also has nothing in common with each other, original context information representation mode disunity by the collection of context acquisition module, in order to generate high-rise contextual information, so that personalized health service to be provided, system of the present invention unifies original contextual information by the context modeling module.
The context modeling module: be used for to adopt the pattern of layering to set up domain knowledge body and context ontology, described domain knowledge body comprises the relation between entity, entity attribute and described entity and the entity attribute in the field; Described context ontology is for the specific tasks concept of the entity of describing described field and the relation between the concept; Described context ontology is expanded the entity attribute of described domain knowledge body, and described domain knowledge body and context ontology all adopt Ontology Language to be described, and then realizes the unification of original context, generates high-rise context.
Domain knowledge and context are the keystone resources information in the system of the present invention, utilize Ontological concept to carry out modeling in the context modeling module.Model based on body has very strong formalization representation and semantic meaning representation ability, conveniently carries out the later stage intelligent inference.
As shown in Figure 3, adopt the concept of layering to create domain knowledge body and context ontology.The domain knowledge body is made up by the entity in the entity in this field, entity attribute and the field and the relation between the entity attribute.The domain knowledge body is made up in advance and is stored in the domain knowledge base by domain expert or slip-stick artist.Be stored in the information relative fixed in the domain knowledge base, can share for the different application in this field.For example, to the Smart Home territory, comprise crucial entity room, kinsfolk user, the items of equipment in the room, and instruction.The user is by this entity opertaing device of instruction.Context ontology is described the relation between specific tasks concept and the concept, and they are by inheriting domain knowledge body association attributes and expanding.By shown in Figure 3, context is expressed as the example of domain knowledge, and for example there are two domestic consumer members of man and wife in certain family, and there are principal bedroom and time bedroom etc. in the bedroom in the family, and these all are the examples in user and room in the domain knowledge of upper strata.With different levels domain knowledge body and context ontology model are conducive to realize the shared of knowledge and reuse between types of applications among the present invention.The model of domain knowledge body and context ontology ontology describing language OWL(Ontology Web Language) describes, realized the unification of original context form.
Through the context modeling module original context is carried out further carrying out data mining and context reasoning by intelligent processing module after uniform format generates high-rise context, and then the realization intellectual analysis.
Intelligent processing module: described high-rise context is carried out data mining and analysis, determine domestic consumer and home equipment behavior pattern and with the behavior pattern storage in library up and down; The behavior pattern that is stored in the described up and down library is compared the abnormal conditions of analysis family user behavior pattern with the information in the domain knowledge base.
Intelligent processing module comprises domain knowledge base and library up and down.Described intelligent processing module also comprises rule base, this rule base stores domestic consumer's rule and home equipment rule, described domestic consumer's rule, home equipment rule and domestic consumer's daily behavior pattern, health status, home environment and relevant to the desired value of health, described domestic consumer's rule is directly arranged by the domestic consumer and adjusts according to actual conditions, and described home equipment rule is given corresponding home equipment by collection and the sending controling instruction of regulation engine managing context.
People's health depends on daily habits and customs, and for personalized health service is provided, intelligent processing module will carry out intelligent inference to high-rise context, and finishing of this task needs to rely on data mining.By the algorithm of data mining, analyze the historical context data of accumulation, and in library up and down the fixed behavior pattern of storage user, for example what time get up domestic consumer, every day feed custom and like listening what music etc.Carry out reasoning according to these behavior patterns, corresponding service is provided when the domestic consumer implements these behavior patterns again, for example time on weekdays, start alarm clock according to its work and rest custom; When the user of family starts multimedia play equipment, play according to the history list that the individual likes.In addition, the behavior pattern that intelligent processing module will be stored in the described up and down library is compared with the information in the domain knowledge base, the abnormal conditions of analysis family user behavior pattern.Such as, whether the healthy recipe in the contrast domain knowledge base is analyzed domestic consumer's dining situation, and is fed back to the information that the domestic consumer has meal and whether improves, make the domestic consumer need determine to adjust.
Now by an example rule and domain knowledge base and contextual relation are described.For example, the user on the way home, send a piece of news by smart mobile phone and " please open the parlor air-conditioning ", preset rule can at first be divided into 3 phrases to this information in the rule base: " opening ", " parlor ", " air-conditioning ", extract their classification according to domain knowledge base, " opening " is instruction, and " parlor " is the room, and " air-conditioning " is equipment; Based on context rule produces a complete instruction message in the storehouse then, and this message triggers the authority that domestic consumer Agent confirms the user earlier, triggers home equipment Agent then and carries out steering order, so far once finishes alternately.
After utilizing domain knowledge and context to carry out rational analysis domestic consumer's behavior pattern and abnormal conditions by intelligent processing module, the system applies module needs accordingly, and information comprises the continuous adjustment optimization of plan, prompting, detection, assessment and plan for the user provides a cover perfect health service.
The behavior pattern that the system applies module is stored according to described library up and down for home equipment provides corresponding service for the domestic consumer; According to the analysis situation of domestic consumer's behavior pattern, for the domestic consumer formulates health service.
The formulation of health plan depends on a series of rule, and these rules are relevant with domestic consumer's daily behavior pattern, such as present health status, home environment, to the desired value of health etc.To the domestic consumer, rule is directly explained with natural language, is convenient to the user and adjusts the requirement of oneself at any time; To the bottom sensor data, come the collection of management data by regulation engine, and sending controling instruction is given corresponding equipment.Rule is kept in the rule base, if increase new inference rule, only needs to revise rule base and gets final product.
The system applies module also comprises the basic performance element of system, and the basic performance element of system is developed in the Agent mode, the room, and home equipment, the domestic consumer has Agent separately.All Agent carry out communication by message mechanism.
The workflow of the personalized health services system based on context-aware of the present invention as shown in Figure 2, multi-sensor device and the human-computer interaction device who lays by domestic consumer's environment of living in based on the personalized health services system of context-aware of the present invention realizes monitoring and record to the every physiological parameter of human body, living environment and life pattern; The information of collecting is reached system server terminal and is efficiently handled, by data mining and context reasoning, carry out intellectual analysis, extract significant data, the automatic propelling movement of feedback informations such as individual diagnosis and treatment and health plan is provided, make the domestic consumer in time obtain dynamically updating of information of interest and service, the domestic consumer can carry out interactive operation to pushed information.The present invention can provide in real time service easily for the user who needs health science life style, improves resident's holistic health level.
The course of work below by simple examples explanation system of the present invention.Store diet and healthy rule in the domain knowledge base in advance, every physiologic parameter value of the healthy population of different sexes, all ages and classes section for example, the calorimeter of various foods etc.; Store the recent parameter value of kinsfolk up and down in the library, if these parameter values do not exceed normal range, then any reaction is not done by system, if a certain moment, a certain parameter for example exceeds normal range after the weight data of the acquisition of the sensor on the weighing scale and the contrast of the data in the domain knowledge base, and at this moment domestic consumer's abnormal conditions can be informed by system, and for this domestic consumer formulates a health plan, comprise the calorie of each meal recipe and exercise plan etc. are provided.The domestic consumer can be according on system interface this plan being carried out suitable adjustment according to actual conditions.The health plan that system formulates is reminded by equipment such as smart mobile phones and is supervised the domestic consumer to carry out, and carries out recruitment evaluation and feedback by the parameter value of new collection every day.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. the personalized health services system based on context-aware is used for the context according to collection, for the domestic consumer provides individual diagnosis and treatment and health plan service, it is characterized in that comprising:
Context acquisition module: be used for gathering home equipment and domestic consumer's original context, and the original context of gathering is sent to the context modeling module;
The context modeling module: be used for to adopt the pattern of layering to set up domain knowledge body and context ontology, described domain knowledge body comprises the relation between entity, entity attribute and described entity and the entity attribute in the field; Described context ontology is for the specific tasks concept of the entity of describing described field and the relation between the concept; Described context ontology is expanded the entity attribute of described domain knowledge body, and described domain knowledge body and context ontology all adopt Ontology Language to be described, and then realizes the unification of original context, generates high-rise context;
Intelligent processing module: described high-rise context is carried out data mining and analysis, determine domestic consumer and home equipment behavior pattern and with the behavior pattern storage in library up and down; The behavior pattern that is stored in the described library is up and down compared with the information in the domain knowledge base that stores described domain knowledge body, analyze the abnormal conditions of family's user behavior pattern;
The system applies module: home equipment provides corresponding service according to the behavior pattern of storing in the described library up and down for the domestic consumer; According to the analysis situation of domestic consumer's behavior pattern, for the domestic consumer formulates health service.
2. the personalized health services system based on context-aware as claimed in claim 1, it is characterized in that: described context acquisition module further comprises home equipment context acquisition module and domestic consumer's context acquisition module, the original context that described home equipment context acquisition module is collected home equipment by the sensor that is laid on the home equipment comprises the attribute of home equipment, the humiture of domestic environment; Described domestic consumer's context acquisition module is collected domestic consumer's original context by the human-computer interaction device, comprises domestic consumer's essential information, every physiological parameter of domestic consumer, domestic consumer position.
3. the personalized health services system based on context-aware as claimed in claim 2, it is characterized in that: described intelligent processing module also comprises rule base, this rule base stores domestic consumer's rule and home equipment rule, described domestic consumer's rule, home equipment rule and domestic consumer's daily behavior pattern, health status, home environment and relevant to the desired value of health, described domestic consumer's rule is directly arranged by the domestic consumer and adjusts according to actual conditions, and described home equipment rule is given corresponding home equipment by collection and the sending controling instruction of regulation engine managing context.
4. the personalized health services system based on context-aware as claimed in claim 3, it is characterized in that: described system applies module is according to the rule of storing in the described rule base, at the analysis situation of domestic consumer's behavior pattern, for formulating, the domestic consumer comprises the health service that health plan, prompting, detection, assessment and health plan are optimized and revised.
5. the personalized health services system based on context-aware as claimed in claim 4, it is characterized in that: described system applies module further comprises the basic performance element of system, carries out communication by information mechanism between the basic performance element of this system.
6. the personalized health services system of context-aware as claimed in claim 2 is characterized in that: the described ZigBee wireless network that is laid in the wireless-transmission network employing star-network topological structure of the sensor on the home equipment.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104486416A (en) * | 2014-12-16 | 2015-04-01 | 三星电子（中国）研发中心 | Comprehensive utilizing system and method of intelligent home service rule |
| CN104579755A (en) * | 2014-12-22 | 2015-04-29 | 齐玉田 | Method and device for controlling physical resource behaviors in Internet of Things |
| CN104715568A (en) * | 2015-03-07 | 2015-06-17 | 上海恩辅信息科技有限公司 | Big data system and method for family environment monitoring |
| CN104933128A (en) * | 2015-06-12 | 2015-09-23 | 北京京东尚科信息技术有限公司 | Information pushing method and system |
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| CN106062754A (en) * | 2013-10-16 | 2016-10-26 | Zbh企业有限责任公司 | Method and system for health plan management |
| CN106249623A (en) * | 2016-07-15 | 2016-12-21 | 南京邮电大学 | A kind of data processing method based on sensing terminal Intelligent Service |
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| CN106815545A (en) * | 2015-11-27 | 2017-06-09 | 罗伯特·博世有限公司 | Behavior analysis system and behavior analysis method |
| CN107065586A (en) * | 2017-05-23 | 2017-08-18 | 中国科学院自动化研究所 | Interactive intelligent home services system and method |
| US10146195B2 (en) | 2014-12-16 | 2018-12-04 | Samsung Electronics Co., Ltd. | Method and apparatus for controlling device using a service rule |
| CN109212986A (en) * | 2018-09-14 | 2019-01-15 | 青岛泰昌木业有限公司 | A kind of Internet of things intelligent home system |
| CN109885010A (en) * | 2019-03-20 | 2019-06-14 | 中南大学 | The health combined based on multi-Agent and Internet of Things sees maintaining method, device and storage medium |
| CN110247892A (en) * | 2015-03-05 | 2019-09-17 | 谷歌有限责任公司 | The method and system realized for resident's strategy in intelligent household's environment |
| CN110427769A (en) * | 2019-08-12 | 2019-11-08 | 重庆大学 | Based on intelligent safeguard system user oriented activity pattern secret protection implementation method |
| CN116682543A (en) * | 2023-08-03 | 2023-09-01 | 山东大学齐鲁医院 | Sharing method and system of regional rehabilitation information |
| WO2023221357A1 (en) * | 2022-05-16 | 2023-11-23 | 青岛海尔科技有限公司 | Device control method and related apparatus |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003225228A (en) * | 2002-01-31 | 2003-08-12 | Sanyo Electric Co Ltd | Health management terminal device, computer program and recording medium |
| US20050037895A1 (en) * | 1999-10-29 | 2005-02-17 | Dugan Brian M. | Methods and apparatus for monitoring and encouraging health and fitness |
| CN101271490A (en) * | 2008-04-30 | 2008-09-24 | 中山大学 | Intelligent health diet consultation system based on digital house |
| CN201379558Y (en) * | 2009-03-23 | 2010-01-13 | 深圳先进技术研究院 | Healthy home system |
| CN202257573U (en) * | 2011-03-03 | 2012-05-30 | 深圳市徕康医疗信息技术有限公司 | Health management system covering communities and families |
| CN102685233A (en) * | 2012-05-11 | 2012-09-19 | 上海交通大学 | Mobile medical care remote monitoring system and data transmission method thereof |
| CN102736587A (en) * | 2012-05-13 | 2012-10-17 | 郭贤生 | Monitoring and control alarming system for smart home |
| CN102736607A (en) * | 2012-07-06 | 2012-10-17 | 重庆邮电大学 | Living security health remote monitoring system based on data integration |
-
2013
- 2013-06-21 CN CN201310247807.0A patent/CN103279687B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050037895A1 (en) * | 1999-10-29 | 2005-02-17 | Dugan Brian M. | Methods and apparatus for monitoring and encouraging health and fitness |
| JP2003225228A (en) * | 2002-01-31 | 2003-08-12 | Sanyo Electric Co Ltd | Health management terminal device, computer program and recording medium |
| CN101271490A (en) * | 2008-04-30 | 2008-09-24 | 中山大学 | Intelligent health diet consultation system based on digital house |
| CN201379558Y (en) * | 2009-03-23 | 2010-01-13 | 深圳先进技术研究院 | Healthy home system |
| CN202257573U (en) * | 2011-03-03 | 2012-05-30 | 深圳市徕康医疗信息技术有限公司 | Health management system covering communities and families |
| CN102685233A (en) * | 2012-05-11 | 2012-09-19 | 上海交通大学 | Mobile medical care remote monitoring system and data transmission method thereof |
| CN102736587A (en) * | 2012-05-13 | 2012-10-17 | 郭贤生 | Monitoring and control alarming system for smart home |
| CN102736607A (en) * | 2012-07-06 | 2012-10-17 | 重庆邮电大学 | Living security health remote monitoring system based on data integration |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106062754A (en) * | 2013-10-16 | 2016-10-26 | Zbh企业有限责任公司 | Method and system for health plan management |
| CN104486416B (en) * | 2014-12-16 | 2018-01-26 | 三星电子（中国）研发中心 | A kind of utilization system and method for smart home service regulation |
| US11221598B2 (en) | 2014-12-16 | 2022-01-11 | Samsung Electronics Co., Ltd. | Method and apparatus for controlling device using a service rule |
| CN104486416A (en) * | 2014-12-16 | 2015-04-01 | 三星电子（中国）研发中心 | Comprehensive utilizing system and method of intelligent home service rule |
| US10146195B2 (en) | 2014-12-16 | 2018-12-04 | Samsung Electronics Co., Ltd. | Method and apparatus for controlling device using a service rule |
| CN104579755A (en) * | 2014-12-22 | 2015-04-29 | 齐玉田 | Method and device for controlling physical resource behaviors in Internet of Things |
| CN110247892B (en) * | 2015-03-05 | 2021-12-21 | 谷歌有限责任公司 | Method and system for household policy implementation in smart home environment |
| CN110247892A (en) * | 2015-03-05 | 2019-09-17 | 谷歌有限责任公司 | The method and system realized for resident's strategy in intelligent household's environment |
| CN104715568A (en) * | 2015-03-07 | 2015-06-17 | 上海恩辅信息科技有限公司 | Big data system and method for family environment monitoring |
| CN104933128A (en) * | 2015-06-12 | 2015-09-23 | 北京京东尚科信息技术有限公司 | Information pushing method and system |
| CN105069728A (en) * | 2015-08-19 | 2015-11-18 | 南京邮电大学 | Emotion inference method based on wireless sensor network |
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| CN116682543A (en) * | 2023-08-03 | 2023-09-01 | 山东大学齐鲁医院 | Sharing method and system of regional rehabilitation information |
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