VIDEO RECOMMENDATION DEVICE AND SYSTEM, AND METHOD THEREOF

• US 20170134817A1
• Filed: 07/12/2016
• Published: 05/11/2017
• Est. Priority Date: 11/05/2015
• Status: Abandoned Application

• Current Assignee: BOE Technology Group Co., Ltd.
• Original Assignee: BOE Technology Group Co., Ltd.
• Inventors: YU, Jing
• Application Number:
  US15/207,812
• Publication Number:
  US 20170134817A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/42201 biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user input arrangements for interaction with the human body based on nervous system activity detection G06F3/015
• CPC Class Codes: H04N 21/4312 involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73

Abstract

A video recommendation device, system and method. An exemplary video recommendation device comprises: a data acquisition module, configured to acquire a user'"'"'s preset physiological data and the type of the physiological data; and a video recommendation module, configured to display the recommendation information of an object video relevant to the type of the preset physiological data according to the preset physiological data. The present disclosure recommends an object video relevant to the type of the present user'"'"'s physiological data to the user based on the user'"'"'s physiological data. The problems of the video recommendation in the prior art, that the recommended results are relatively simple, and the flexibility and pertinence are relatively low, are solved. The present disclosure has effects of higher flexibility and stronger pertinence.

Claims

1. A video recommendation device, comprising:

data acquisition module, configured to acquire a user'"'"'s preset physiological data and the type of the physiological data;

video recommendation module, configured to display the recommendation information of an object video relevant to the type of the preset physiological data according to the preset physiological data.

2. The device according to claim 1, wherein the video recommendation module further comprising:

health detection unit, configured to detect whether the value of the preset physiological data is in the range of health values;

type recommendation unit, configured to display the recommendation information of an object video relevant to the type of the preset physiological data when the value of the preset physiological data is not in the range of health values.

3. The device according to claim 2, wherein the video recommendation module further comprising:

Sub-health detection unit, configured to detect whether the value of the preset physiological data is in the range of Sub-health values when the value of the preset physiological data is not in the range of health values, and the range of Sub-health values contains a first Sub-range in which the minimum value is bigger than the maximum value of the range of health values, and a second Sub-range in which the maximum value is smaller than the minimum value of the range of health values;

display stop unit, configured to stop displaying the video when the value of the preset physiological data is not in the range of Sub-health values.

4. The device according to claim 2, wherein the type recommendation unit further comprising:

keyword acquisition sub-unit, configured to acquire an object keyword corresponding to the type of the preset physiological data based on the correspondence between the type of the preset physiological data and the keyword;

video acquisition sub-unit, configured to acquire an object video with a title or tag containing the object keyword and the tag is used for indicating the video content;

information displaying sub-unit, configured to display the recommendation information of the object video.

5. The device according to claim 1, wherein the preset physiological data contains preset number of the same type physiological data in a preset time period before the present moment.

6. The device according to claim 1, wherein the preset physiological data contains at least two types of physiological data and

the video recommendation module is configured to:

attach a weight to each type of physiological data based on the degree of deviation between the physiological data and the range of health values of each type of physiological data from at least two types of physiological data, and the weight is positive correlation with the degree of deviation; and

display the recommendation information of the object video relevant to the n types of the physiological data with maximum weights and n is a preset positive integer.

7. The device according to claim 6, wherein the first type of physiological data in the at least two types of physiological data contains preset number of first type physiological data in a preset time period before the present moment, and the first type physiological data is any type physiological data in the at least two types of physiological data.

8. The device according to claim 1, further comprising:

data selection module, configured to;

receive the user'"'"'s selection information;

determine at least one type of physiological data corresponding to the selection information as the preset physiological data according to preset correspondences.

9. A video recommendation system, comprising a wearable apparatus and a video display terminal, the wearable apparatus is used to acquire a user'"'"'s physiological data and provide the physiological data to the video display terminal;

the video display terminal comprises a video recommendation device, wherein the video recommendation device comprises;

data acquisition module, configured to acquire a user'"'"'s preset physiological data and the type of the physiological data;

video recommendation module, configured to display the recommendation information of an object video relevant to the type of the preset physiological data according to the preset physiological data.

10. The video recommendation system according to claim 9, wherein the video recommendation module further comprising:

health detection unit, configured to detect whether the value of the preset physiological data is in the range of health values;

type recommendation unit, configured to display the recommendation information of an object video relevant to the type of the preset physiological data when the value of the preset physiological data is not in the range of health values.

11. The video recommendation system according to claim 9, wherein the preset physiological data contains at least two types of physiological data,

the video recommendation module is configured to:

attach a weight to each type of physiological data based on the degree of deviation between the physiological data and the range of health values of each type of physiological data from at least two types of physiological data, and the weight is positive correlation with the degree of deviation; and

display the recommendation information of the object video relevant to the n types of the physiological data with maximum weights and n is a preset positive integer.

12. The video recommendation system according to claim 9, wherein the video recommendation device further comprising:

data selection module, configured to;

receive the user'"'"'s selection information;

determine at least one type of physiological data corresponding to the selection information as the preset physiological data according to preset correspondences.

13. A video recommendation method comprising:

acquiring the preset physiological data of a user and the type of the preset physiological data;

displaying the recommendation information of the object video which is relevant to the type of the preset physiological data based on the preset physiological data.

14. The method according to claim 13, wherein displaying the recommendation information of the object video which is relevant to the type of the preset physiological data based on the preset physiological data comprising:

detecting whether the value of the preset physiological data is in the range of health values;

when the value of the preset physiological data is not in the range of health values, then displaying the recommendation information of an object video relevant to the type of the preset physiological data.

15. The method according to claim 14, after detecting whether the value of the preset physiological data is in the range of health values, the method further comprising:

when the value of the preset physiological data is not in the range of health values, detecting whether the value of the preset physiological data is in the range of Sub-health values, and wherein, the range of Sub-health values contains a first Sub-range in which the minimum value is bigger than the maximum value of the range of health values, and a second Sub-range in which the maximum value is smaller than the minimum value of the range of health values;

when the value of the preset physiological data is not in the range of Sub-health values, stopping displaying the video.

16. The method according to claim 14, wherein displaying the recommendation information of an object video relevant to the type of the preset physiological data comprising:

acquiring an object keyword corresponding to the type of the preset physiological data based on the correspondence between the type of the preset physiological data and the keyword;

acquiring an object video with a title or tag containing the object keyword and the tag is used for indicating the video content;

displaying the recommendation information of the object video.

17. The method according to claim 13, wherein the preset physiological data contains preset number of a same type physiological data in a preset time period before the present moment.

18. The method according to claim 13, wherein the preset physiological data contains at least two types of physiological data and

displaying the recommendation information of the object video which is relevant to the type of the preset physiological data based on the preset physiological data comprising:

attaching a weight to each type of physiological data based on the degree of deviation between the physiological data and the range of health values of each type of physiological data from at least two types of physiological data, and the weight is positive correlation with the degree of deviation; and

displaying the recommendation information of the object video relevant to the n types of the physiological data with maximum weights and n is a preset positive integer.

19. The method according to claim 18, wherein the first type of physiological data in the at least two types of physiological data contains preset number of first type physiological data in a preset time period before the present moment, and the first type physiological data is any type physiological data in the at least two types of physiological data.

20. The method according to claim 13, wherein before acquiring the preset physiological data of a user and the type of the preset physiological data, the method further comprising:

receiving the user'"'"'s selection information;

determining at least one type of physiological data corresponding to the selection information as the preset physiological data according to preset correspondences.