CN113055746A - Old people monitoring method, device, server and system based on television watching behaviors - Google Patents
Old people monitoring method, device, server and system based on television watching behaviors Download PDFInfo
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- CN113055746A CN113055746A CN202110416672.0A CN202110416672A CN113055746A CN 113055746 A CN113055746 A CN 113055746A CN 202110416672 A CN202110416672 A CN 202110416672A CN 113055746 A CN113055746 A CN 113055746A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/0423—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting deviation from an expected pattern of behaviour or schedule
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The application relates to a method, a device, a server and a system for monitoring the old based on television watching behaviors, and belongs to the technical field of intelligent television application. The application includes: when it is determined that the smart television is associated with an elderly user needing to be monitored, obtaining a watching behavior rule of the elderly user according to historical watching behavior data of the smart television; analyzing the change condition of the watching behavior of the old user according to the watching behavior rule, and carrying out health prediction on the old user according to the change condition; and if the possibility of abnormal health of the old people user is predicted, processing according to a preset monitoring processing strategy. Through this application, help providing better guarantee for old person's health guardianship.
Description
Technical Field
The application belongs to the technical field of smart television application, and particularly relates to a method, a device, a server and a system for monitoring the old based on television watching behaviors.
Background
When a user uses the intelligent television, the intelligent television system can collect the watching behavior data of the user, such as the watching record, the using time period, the using duration and the like of the user, after the data are collected, the user can be analyzed and classified, and the analysis result is utilized to provide better service for the user, for example, the user can recommend video content which the user may want to watch.
The aging of population is a social problem which is concerned at present, and the health problem is the most important problem for the old people, especially the old people living alone.
Disclosure of Invention
In order to overcome the problems in the related technology at least to a certain extent, the method, the device, the server and the system for monitoring the old based on the television watching behavior are provided, and the method, the device, the server and the system are beneficial to providing better guarantee for the health monitoring of the old.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the application provides an old people monitoring method based on television watching behaviors, which comprises the following steps:
when it is determined that the smart television is associated with an elderly user needing to be monitored, obtaining a watching behavior rule of the elderly user according to historical watching behavior data of the smart television;
analyzing the change condition of the watching behavior of the old user according to the watching behavior rule, and carrying out health prediction on the old user according to the change condition;
and if the possibility of abnormal health of the old people user is predicted, processing according to a preset monitoring processing strategy.
Further, the analyzing the change of the watching behavior of the elderly user according to the watching behavior rule and performing health prediction on the elderly user according to the change of the watching behavior rule comprises:
analyzing the change condition of the watching time length of the old-man user according to the watching behavior rule, obtaining the watching activity of the old-man user according to the change condition of the watching time length of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the watching activity of the old-man user is lower than a preset low activity threshold value or higher than a preset high activity threshold value.
Further, the analyzing the change of the watching behavior of the elderly user according to the watching behavior rule and performing health prediction on the elderly user according to the change of the watching behavior rule comprises:
analyzing the change condition of the watching content of the old-man user according to the watching behavior rule, obtaining the mental health value of the old-man user according to the change condition of the watching content of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the mental health value of the old-man user is lower than a preset mental health threshold value.
Further, the analyzing the change of the watching behavior of the elderly user according to the watching behavior rule and performing health prediction on the elderly user according to the change of the watching behavior rule comprises:
and analyzing the television operation change condition of the old-man user according to the watching behavior rule, obtaining the proficiency of the old-man user in operating the television according to the television operation change condition of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the proficiency of the old-man user in operating the television is lower than a preset proficiency threshold value.
Further, if it is predicted that the health of the elderly user may be abnormal, the processing is performed according to a preset monitoring processing strategy, including:
and if the possibility of abnormal health of the old people user is predicted, acquiring contact information associated with the smart television, and alarming abnormal health of the old people user according to the acquired contact information.
Further, the contact information includes: phone contact information, and/or instant chat tool contact information.
Further, if it is predicted that the health of the elderly user may be abnormal, the processing is performed according to a preset monitoring processing strategy, including:
if the fact that the health of the old people user is abnormal is predicted, other intelligent televisions which are related to the intelligent televisions are searched, and when the searched other intelligent televisions have television broadcasting, the abnormal health alarm of the old people user is carried out on the other intelligent televisions which are broadcasting the television.
In a second aspect of the present invention,
the application provides an old man guards device based on TV watching action includes:
the obtaining module is used for obtaining the watching behavior rule of the old user according to the historical watching behavior data of the intelligent television when the fact that the intelligent television is associated with the old user needing to be monitored is determined;
the analysis and prediction module is used for analyzing the change condition of the watching behavior of the old user according to the watching behavior rule and performing health prediction on the old user according to the change condition;
and the processing module is used for processing according to a preset monitoring processing strategy if the possible abnormality of the health of the old user is predicted.
In a third aspect,
the application provides an old man guards server based on TV watching action includes:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of any of the methods described above.
In a fourth aspect of the present invention,
the application provides an old man monitor system based on TV watching action includes:
the old people monitoring server based on the television watching behaviors; and
provided is a smart television.
This application adopts above technical scheme, possesses following beneficial effect at least:
the intelligent television is well matched with the life of a user, when the intelligent television is associated with a need to monitor an old user, the watching behavior rule of the old user is obtained according to the historical watching behavior data of the intelligent television, the health of the old user is predicted accordingly, the health prediction of the old user is possibly abnormal, the old user is processed according to a preset monitoring processing strategy, and therefore the intelligent television can provide health monitoring service for the old through the intelligent television, the old health monitoring expansion is realized, the old health monitoring can be better guaranteed, meanwhile, the intelligent television service function application expansion is also realized, and the intelligent television use experience of the user can be improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow diagram illustrating a method for elderly monitoring based on television viewing behavior in accordance with an exemplary embodiment;
fig. 2 is a block diagram of an geriatric monitoring device based on television viewing behavior according to an exemplary embodiment;
fig. 3 is a block diagram of an geriatric monitoring server based on television viewing behavior in accordance with an exemplary embodiment;
fig. 4 is a block diagram of an geriatric monitoring system based on television viewing behavior according to an exemplary embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating an elderly people monitoring method based on tv viewing behavior according to an exemplary embodiment, and as shown in fig. 1, the elderly people monitoring method based on tv viewing behavior includes the following steps:
step S101, when it is determined that the smart television is associated with an old user needing to be monitored, the watching behavior rule of the old user is obtained according to the historical watching behavior data of the smart television.
Specifically, when the user uses the smart television, the smart television system may collect viewing behavior data of the user, such as viewing records, usage periods, usage durations, and the like of the user. In the application, a technical association that when it is determined that the smart television is associated with the old people user needing to be monitored, the watching behavior rule of the old people user is obtained according to the historical watching behavior data of the smart television is established, in practical application, the old people can operate on the smart television, or other people, such as children and relatives of the old people, operate on the smart television, associate the smart television with the old people user needing to be monitored, and record the associated old people user in a background server. Aiming at the smart television associated with the old people user needing to be monitored, the background server acquires historical watching behavior data acquired by the smart television, and can screen the historical watching behavior data of the old people user according to the factors such as the preference of the old people user for watching the television and the like, and related technical contents can be consulted. Then, the watching behavior law of the old-people user corresponding to the smart television can be analyzed according to the historical watching behavior data of the old-people user, such as what programs are usually liked to watch, the time period of watching the television, and the like.
And S102, analyzing the watching behavior change condition of the old user according to the watching behavior rule, and performing health prediction on the old user according to the watching behavior change condition.
The television watching behavior analysis method based on the old user analysis has the advantages that whether the television watching behavior of the old user is abnormal or not can be analyzed according to the watching behavior rule of the old user, the health condition of the old user can be reflected to a certain degree according to whether the television watching behavior of the old user is abnormal or not, and therefore the health prediction of the old user can be carried out.
The following is further illustrated by the relevant specific examples.
In one embodiment, the analyzing the change of the viewing behavior of the elderly user according to the viewing behavior rule and performing the health prediction of the elderly user according to the change of the viewing behavior rule includes:
analyzing the change condition of the watching time length of the old-man user according to the watching behavior rule, obtaining the watching activity of the old-man user according to the change condition of the watching time length of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the watching activity of the old-man user is lower than a preset low activity threshold value or higher than a preset high activity threshold value.
For example, according to the watching behavior law of the elderly user, under a normal condition, the elderly user watches the television at a plurality of relatively fixed time intervals every day, the background server of the smart television can obtain the activity range of watching the television by the elderly user, if the elderly user does not watch the television all day in a certain day, or the watching activity of the elderly user is obviously reduced in consecutive days, it can be obtained that the watching activity of the elderly user is lower than a preset low activity threshold value, and under the condition, it is necessary to predict that the health of the elderly user may be abnormal.
In addition, if the length of time that the elderly user watches the television is significantly longer than the normal condition, for example, watching the television for four hours every day, but watching the television all at once in a certain period is obviously unfavorable for the health of the elderly user, in this case, the watching activity of the elderly user is higher than the preset high activity threshold, and it is necessary to predict that the health of the elderly user may be abnormal.
In one embodiment, the analyzing the change of the viewing behavior of the elderly user according to the viewing behavior rule and performing the health prediction of the elderly user according to the change of the viewing behavior rule includes:
analyzing the change condition of the watching content of the old-man user according to the watching behavior rule, obtaining the mental health value of the old-man user according to the change condition of the watching content of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the mental health value of the old-man user is lower than a preset mental health threshold value.
For example, according to the law of watching behaviors of the elderly user, the elderly user likes to watch various comedy programs under normal conditions, the background server of the smart television can analyze that the psychological health state of the elderly user is good, a psychological health threshold value is set for the elderly user, if the elderly user obviously reduces watching of the comedy programs after a certain day, the psychological health state of the elderly user can be analyzed to change to a certain extent under the condition, if the psychological health value of the elderly user is lower than the preset psychological health threshold value, if the elderly user turns to pay too much attention to disease treatment programs, the background server can judge that the psychological health value is lower than the preset psychological health threshold value, and it is predicted that the health of the elderly user may be abnormal.
In one embodiment, the analyzing the change of the viewing behavior of the elderly user according to the viewing behavior rule and performing the health prediction of the elderly user according to the change of the viewing behavior rule includes:
and analyzing the television operation change condition of the old-man user according to the watching behavior rule, obtaining the proficiency of the old-man user in operating the television according to the television operation change condition of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the proficiency of the old-man user in operating the television is lower than a preset proficiency threshold value.
For example, according to the watching behavior rule of the old-man user, under the normal condition, the old-man user is very skilled in program path selection operation on the smart television, the background server of the smart television can analyze that the physical function of the old-man user is good and set a proficiency threshold value for the old-man user, after a certain day, the background server of the smart television can analyze that the program path selection operation of the old-man user frequently makes mistakes before the old-man user turns to a program which is habitually watched by the old-man user every time, and the background server can judge that the proficiency of the old-man user in operating the television is lower than the preset proficiency threshold value.
And S103, if the possibility that the health of the old people user is abnormal is predicted, processing according to a preset monitoring processing strategy.
The background server of the intelligent television predicts that the health of the old user is abnormal, and the background server of the intelligent television processes the health according to a preset monitoring processing strategy, so that the health monitoring service for the old user is realized.
The following is further illustrated by the relevant specific examples.
In one embodiment, if it is predicted that there may be an abnormality in the health of the elderly user, the processing according to a preset monitoring processing policy includes:
and if the possibility of abnormal health of the old people user is predicted, acquiring contact information associated with the smart television, and alarming abnormal health of the old people user according to the acquired contact information.
Further, the contact information includes: phone contact information, and/or instant chat tool contact information.
Specifically, the telephone contact information can be telephone contact information of children and friends of the old, the instant chat tool can be WeChat and the like, in practical application, a background server of the smart television can enable the WeChat of a user to be noted through an application program, the health of the old user is predicted to be abnormal, the health abnormity alarm of the old user is carried out through the reserved telephone contact information in a telephone dialing or short message leaving mode, the health abnormity alarm of the old user can be pushed to the chat tool of the user, and therefore the contact can be reminded in time, and the health safety of the old user is guaranteed.
In one embodiment, if it is predicted that there may be an abnormality in the health of the elderly user, the processing according to a preset monitoring processing policy includes:
if the fact that the health of the old people user is abnormal is predicted, other intelligent televisions which are related to the intelligent televisions are searched, and when the searched other intelligent televisions have television broadcasting, the abnormal health alarm of the old people user is carried out on the other intelligent televisions which are broadcasting the television.
Specifically, the intelligent television can be associated with other intelligent televisions, so that the intelligent television of the old people user can be associated with the intelligent televisions of the contacts such as children and relatives and friends of the old people user, when the background server predicts that the health of the old people user is possibly abnormal, the intelligent television of other users associated with the old people intelligent television is searched, if the television is played in the intelligent televisions of other users associated with the old people intelligent television, it is indicated that the user is in front of the television, the health abnormity alarm of the old people user is performed on other intelligent televisions which are playing the television, and the intelligent television is more beneficial to ensuring that the contacts can know the health abnormity alarm of the old people user at the first time.
In summary, according to the application, the smart television which is well matched with the life of the user is utilized, when the smart television is associated with the user needing to be monitored, the watching behavior rule of the old user is obtained according to the historical watching behavior data of the smart television, so that the health of the old user is predicted, and when the health prediction of the old user is possibly abnormal, the old user is processed according to the preset monitoring processing strategy, so that the health monitoring service is provided for the old through the smart television, the health monitoring expansion of the old is realized, the health monitoring of the old is facilitated to be provided with better guarantee, meanwhile, the expansion of the application of the service function of the smart television is also realized, and the use experience of the smart television of the user is facilitated to be improved.
Referring to fig. 2, fig. 2 is a block diagram illustrating an geriatric monitoring device based on a television viewing behavior according to an exemplary embodiment, and as shown in fig. 2, the geriatric monitoring device 2 based on the television viewing behavior includes:
the obtaining module 201 is used for obtaining a watching behavior rule of an old user according to historical watching behavior data of the smart television when the fact that the smart television is associated with the old user needing to be monitored is determined;
the analysis and prediction module 202 is used for analyzing the change condition of the watching behavior of the elderly user according to the watching behavior rule and performing health prediction on the elderly user according to the change condition;
and the processing module 203 is configured to, if it is predicted that the health of the elderly user may be abnormal, perform processing according to a preset monitoring processing policy.
Further, the analysis and prediction module 202 is specifically configured to:
analyzing the change condition of the watching time length of the old-man user according to the watching behavior rule, obtaining the watching activity of the old-man user according to the change condition of the watching time length of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the watching activity of the old-man user is lower than a preset low activity threshold value or higher than a preset high activity threshold value.
Further, the analysis and prediction module 202 is specifically configured to:
analyzing the change condition of the watching content of the old-man user according to the watching behavior rule, obtaining the mental health value of the old-man user according to the change condition of the watching content of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the mental health value of the old-man user is lower than a preset mental health threshold value.
Further, the analysis and prediction module 202 is specifically configured to:
and analyzing the television operation change condition of the old-man user according to the watching behavior rule, obtaining the proficiency of the old-man user in operating the television according to the television operation change condition of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the proficiency of the old-man user in operating the television is lower than a preset proficiency threshold value.
Further, the processing module 203 is specifically configured to:
and if the possibility of abnormal health of the old people user is predicted, acquiring contact information associated with the smart television, and alarming abnormal health of the old people user according to the acquired contact information.
Further, the contact information includes: phone contact information, and/or instant chat tool contact information.
Further, the processing module 203 is specifically configured to:
if the fact that the health of the old people user is abnormal is predicted, other intelligent televisions which are related to the intelligent televisions are searched, and when the searched other intelligent televisions have television broadcasting, the abnormal health alarm of the old people user is carried out on the other intelligent televisions which are broadcasting the television.
With regard to the old people monitoring device 2 based on television viewing behavior in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.
Referring to fig. 3, fig. 3 is a block diagram illustrating an geriatric monitoring server based on a television viewing behavior according to an exemplary embodiment, and as shown in fig. 3, the geriatric monitoring server 3 based on the television viewing behavior includes:
one or more memories 301 having executable programs stored thereon;
one or more processors 302 for executing the executable programs in the memory 301 to implement the steps of any of the methods described above.
In practical applications, the geriatric monitoring server 3 based on tv viewing behavior may be embodied in the form of multiple independent servers, such as: the system comprises a user behavior acquisition server, a user behavior analysis server and an old people monitoring server, wherein guardians of the old people, such as children and relatives, are provided with an intelligent television of the monitored old people and an instant communication tool for receiving alarm information through the old people monitoring server; in the daily use process of the old, the intelligent television records the television use behavior of the old and uploads the television use behavior to the user behavior acquisition server, and the user behavior acquisition server receives the behavior data of the old acquired by the intelligent television and stores the data; the user behavior analysis server can acquire the behavior data of the old using the smart television from the user behavior collection server for analysis. And sending health condition early warning, alarming and the like to the old monitoring server according to the analysis result. The old monitoring server receives the information of alarm, early warning and the like, informs an emergency contact person and further helps the old.
The old person monitoring server can manage one or more smart televisions used by the old person, one or more guardians of the old person, and various instant messaging tools of the guardians, such as mobile phones, fixed phones, WeChat and the like.
The intelligent television records all using behavior data in real time, such as a time period for using the television, content for watching by using the television, operation proficiency in using the television and the like, and the recorded data can be uploaded to the user behavior acquisition server in time.
The user behavior acquisition server stores and receives user data of the old people using the smart television, stores the user data according to the ID of the old people and timely informs the user behavior analysis server.
The user behavior analysis server can comprehensively analyze the current data and the historical data, for example, when the time period for the old people to watch the television changes, if the old people do not use the television in a certain day, an alarm can be given, and for example, a warning can be given when the old people still watch the television beyond 11 pm. For example, the content of the television to be viewed is not changed, and a warning or the like is given even if the remote controller is not operated for a long time.
The old monitoring server receives the alarm, the early warning and the like, and can send out alarm and early warning information in time according to the stored contact information of the emergency contact person.
Referring to fig. 4, fig. 4 is a block diagram illustrating an geriatric monitoring system based on a television viewing behavior according to an exemplary embodiment, and as shown in fig. 4, the geriatric monitoring system based on a television viewing behavior 4 includes:
the old people monitoring server 3 based on the television watching behaviors; and
and a smart television 5.
With regard to the geriatric monitoring system 4 based on television viewing behavior in the above embodiment, the detailed manner of the geriatric monitoring server 3 and the smart television 5 has been described in detail in the above embodiment of the related method, and will not be described in detail here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present application may be integrated into one processing module 203, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An old people monitoring method based on television watching behaviors is characterized by comprising the following steps:
when it is determined that the smart television is associated with an elderly user needing to be monitored, obtaining a watching behavior rule of the elderly user according to historical watching behavior data of the smart television;
analyzing the change condition of the watching behavior of the old user according to the watching behavior rule, and carrying out health prediction on the old user according to the change condition;
and if the possibility of abnormal health of the old people user is predicted, processing according to a preset monitoring processing strategy.
2. The method according to claim 1, wherein the analyzing the change of the viewing behavior of the elderly user according to the viewing behavior rules and the predicting the health of the elderly user based on the change of the viewing behavior rules comprises:
analyzing the change condition of the watching time length of the old-man user according to the watching behavior rule, obtaining the watching activity of the old-man user according to the change condition of the watching time length of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the watching activity of the old-man user is lower than a preset low activity threshold value or higher than a preset high activity threshold value.
3. The method according to claim 1, wherein the analyzing the change of the viewing behavior of the elderly user according to the viewing behavior rules and the predicting the health of the elderly user based on the change of the viewing behavior rules comprises:
analyzing the change condition of the watching content of the old-man user according to the watching behavior rule, obtaining the mental health value of the old-man user according to the change condition of the watching content of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the mental health value of the old-man user is lower than a preset mental health threshold value.
4. The method according to claim 1, wherein the analyzing the change of the viewing behavior of the elderly user according to the viewing behavior rules and the predicting the health of the elderly user based on the change of the viewing behavior rules comprises:
and analyzing the television operation change condition of the old-man user according to the watching behavior rule, obtaining the proficiency of the old-man user in operating the television according to the television operation change condition of the old-man user, and predicting that the health of the old-man user is possibly abnormal if the proficiency of the old-man user in operating the television is lower than a preset proficiency threshold value.
5. The method according to any one of claims 1-4, wherein if it is predicted that there may be an abnormality in the elderly user's health, processing according to a preset guardian processing strategy comprises:
and if the possibility of abnormal health of the old people user is predicted, acquiring contact information associated with the smart television, and alarming abnormal health of the old people user according to the acquired contact information.
6. The method of claim 5, wherein the contact information comprises: phone contact information, and/or instant chat tool contact information.
7. The method according to any one of claims 1-4, wherein if it is predicted that there may be an abnormality in the elderly user's health, processing according to a preset guardian processing strategy comprises:
if the fact that the health of the old people user is abnormal is predicted, other intelligent televisions which are related to the intelligent televisions are searched, and when the searched other intelligent televisions have television broadcasting, the abnormal health alarm of the old people user is carried out on the other intelligent televisions which are broadcasting the television.
8. An old people monitoring device based on television watching behaviors, which is characterized by comprising:
the obtaining module is used for obtaining the watching behavior rule of the old user according to the historical watching behavior data of the intelligent television when the fact that the intelligent television is associated with the old user needing to be monitored is determined;
the analysis and prediction module is used for analyzing the change condition of the watching behavior of the old user according to the watching behavior rule and performing health prediction on the old user according to the change condition;
and the processing module is used for processing according to a preset monitoring processing strategy if the possible abnormality of the health of the old user is predicted.
9. An old people monitoring server based on television watching behaviors, comprising:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of the method of any one of claims 1-7.
10. An old people monitoring system based on television watching behaviors, which is characterized by comprising:
the geriatric monitoring server based on television viewing behavior of claim 9, and
provided is a smart television.
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