CN104333804A - Television user identification system and method - Google Patents
Television user identification system and method Download PDFInfo
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- CN104333804A CN104333804A CN201310308941.7A CN201310308941A CN104333804A CN 104333804 A CN104333804 A CN 104333804A CN 201310308941 A CN201310308941 A CN 201310308941A CN 104333804 A CN104333804 A CN 104333804A
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- user
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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
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
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- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Signal Processing (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a television user identification system. The system comprises a control module for controlling a 3D depth transducer to identify all nodes of a user skeleton in front of a television, a computation module for computing the skeleton feature value of a user according to all the identified nodes of the user skeleton, an identification module for searching for a medical feature corresponding to the skeleton feature value from a database according to the skeleton feature value of the user, an acquisition module for accessing a server which is connected with the television, and acquiring a television program corresponding to the medical feature from the server, and a display module for displaying the acquired television program on the television. The invention further provides a television user identification method. Through adoption of the television user identification system and method, a corresponding television program is provided for the user by using user skeleton information.
Description
Technical field
The present invention relates to a kind of TV user management system and method, particularly relate to a kind of TV user recognition system and method.
Background technology
Increasing intelligent television enters the daily life of user, makes the information carrier that TV is no longer just simple, but can carry out interactive multimedia device with user.Current TV utilizes the device such as microphone and video camera to detect the sound of user, action to replace traditional remote controller operation, aforesaid operations is all wait for that user's transmit operation information is to TV, corresponding operation behavior is made according to operation information again, the TV programme that can not initiatively provide user to need after waiting for television reception.
Summary of the invention
In view of above content, be necessary to provide a kind of TV user recognition system, the user of TV can be identified, and play corresponding TV programme.
In addition, there is a need to provide a kind of TV user recognition methods, the user of TV can be identified, and play corresponding TV programme.
A kind of TV user recognition system, run in electrical equipment, this system comprises: control module, identifies all nodes of the user's skeleton before TV for control 3D depth transducer; Computing module, for all nodes according to the user's skeleton identified, calculates the framework characteristic value of user; Identification module, for according to the framework characteristic value of user in medical features corresponding to this framework characteristic value of database lookup; Acquisition module, for accessing the server be connected with TV, obtains the TV programme corresponding to described medical features in this server; And display module, for the TV programme got described in showing on TV.
A kind of TV user recognition methods, the method comprises: rate-determining steps, and control 3D depth transducer identifies all nodes of the user's skeleton before TV; Calculation procedure, according to all nodes of the user's skeleton identified, calculates the framework characteristic value of user; Identification step, according to the framework characteristic value of user in medical features corresponding to this framework characteristic value of database lookup; Obtaining step, accesses the server be connected with TV, obtains the TV programme corresponding to described medical features in this server; And step display, the TV programme got described in display on TV.
Compared to prior art, described TV user recognition system and method, by identifying the skeleton of human body, judge TV user according to skeleton, and distribute corresponding TV programme to user.
Accompanying drawing explanation
Fig. 1 is the running environment figure of TV user recognition system of the present invention preferred embodiment.
Fig. 2 is the functional block diagram of TV user recognition system in Fig. 1.
Fig. 3 is the operation process chart of TV user recognition methods preferred embodiment of the present invention.
Fig. 4 identifies in the present invention that human skeleton judges the schematic diagram of TV user.
Main element symbol description
| TV | 1 |
| TV user recognition system | 10 |
| 3D depth transducer | 11 |
| Database | 12 |
| Server | 2 |
| Control module | 100 |
| Computing module | 101 |
| Identification module | 102 |
| Acquisition module | 103 |
| Display module | 104 |
Following embodiment will further illustrate the present invention in conjunction with above-mentioned accompanying drawing.
Embodiment
As shown in Figure 1, be the running environment figure of TV user recognition system of the present invention preferred embodiment.This TV user recognition system 10 runs in TV 1, and described TV 1 is provided with 3D depth transducer 11, and this 3D depth transducer 11 is for identifying each node in the human skeleton of TV user.Described TV user recognition system 10 is for each node according to the human skeleton identified, and calculate the framework characteristic value of user, this framework characteristic value may be height, shoulder breadth etc.Described TV 1 comprises database 12, stores the formula for calculating each framework characteristic value in this database 12, and the framework characteristic value of human body corresponding to the different medical features in each area.Described TV user recognition system 10 determines the medical features of user according to the framework characteristic value calculated.Described TV 1 is connected to server 2, and this server 2 is for providing the TV programme corresponding to different medical features user.Described medical features can be divided into, but is not limited to, the male sex, women, children etc.
As shown in Figure 2, be the functional block diagram of TV user recognition system 10 in Fig. 1.Described TV user recognition system 10 comprises: control module 100, computing module 101, identification module 102, acquisition module 103 and display module 104.Described module is the software program section with specific function, this software program section is stored in computer-readable recording medium or other memory device, can be performed by the calculation element that computer or other comprise processor, thus complete in the present invention the work flow identifying TV user.
Control module 100 identifies all nodes of the user's skeleton before TV 1 for control 3D depth transducer 11, and the distance value calculated between adjacent node, as shown in Figure 4, described 3D depth transducer 11 identifies 20 nodes altogether, and the distance value between adjacent node is respectively: d1, d2 ~ d10 etc.
Distance value between all adjacent nodes of user's skeleton that computing module 101 identifies for basis, utilize the formula of the framework characteristic value stored in database 12 to calculate the framework characteristic value of user, this framework characteristic value comprises height, shoulder breadth and hip breadth ratio value etc.For example, if utilize all nodes of user's skeleton to calculate the height of user, as shown in Figure 4, available formula: height=2*d1+d4+d5+d6+d8+d9+d10.If utilize all nodes of user's skeleton to calculate the ratio value of shoulder breadth and hip breadth, then available formula: shoulder breadth=d2+d3, hip breadth=d6+d7.
Identification module 102 for searching should the medical features of framework characteristic value in database 12 according to the framework characteristic value of user.Due to each area, the framework characteristic value of every country may be different, and such as Asian is different with European height, therefore, in the present embodiment, described identification module 102 can search medical features corresponding to the framework characteristic value of described user in the medical features of user location.Such as, when regional 12 years old children's average height about 150 centimeters, then when the value of height is less than 150 centimeters, then can think that the user before TV 1 is children.If the value of height is higher than 150 centimeters, then can think that the user before TV 1 is adult.Further, when the ratio value of shoulder breadth and hip breadth is greater than 1, then the adult user before can being judged to be TV 1 is the male sex, and when the ratio value of shoulder breadth and hip breadth is less than 1, then the adult user before can being judged to be TV 1 is women.
The medical features access services device 2 of acquisition module 103 for identifying according to above-mentioned identification module 102, searches and obtains TV programme corresponding to this medical features.Such as, if identify the user of TV 1 for male adult, then acquisition module 103 access services device 2, search and obtain the TV programme such as news, stock, motion.If the medical features identified is the user of TV 1 is female adult, then acquisition module 103 obtains the TV programme such as shopping, beauty treatment on a server 2.If the user that the medical features identified is TV 1 is children, then acquisition module 103 obtains the TV programme such as cartoon, children education on a server 2.
Display module 104, for showing the above-mentioned TV programme got on TV 1, is watched for user.
As shown in Figure 3, be the operation process chart of TV user recognition methods preferred embodiment of the present invention.
Step S30, control module 100 control 3D depth transducer 11 identifies all nodes of the user's skeleton before TV 1, and the distance value calculated between adjacent node, as shown in Figure 4, described 3D depth transducer 11 identifies 20 nodes altogether, and the distance value between adjacent node is respectively: d1, d2 ~ d10 etc.
Step S31, computing module 101 is according to the distance value between all adjacent nodes of the user's skeleton identified, utilize the formula of the framework characteristic value stored in database 12 to calculate the framework characteristic value of user, this framework characteristic value comprises height, shoulder breadth and hip breadth ratio value etc.For example, if utilize all nodes of user's skeleton to calculate the height of user, as shown in Figure 4, available formula: height=2*d1+d4+d5+d6+d8+d9+d10.If utilize all nodes of user's skeleton to calculate the ratio value of shoulder breadth and hip breadth, then available formula: shoulder breadth=d2+d3, hip breadth=d6+d7.
Step S32, identification module 102 is searched should the medical features of framework characteristic value according to the framework characteristic value of user in database 12, such as, when regional 12 years old children's average height about 150 centimeters, then when the value of height is less than 150 centimeters, then can think that the user before TV 1 is children.If the value of height is higher than 150 centimeters, then can think that the user before TV 1 is adult.Further, when the ratio value of shoulder breadth and hip breadth is greater than 1, then the adult user before can being judged to be TV 1 is the male sex, and when the ratio value of shoulder breadth and hip breadth is less than 1, then the adult user before can being judged to be TV 1 is women.
Step S33, the medical features access services device 2 that acquisition module 103 identifies according to above-mentioned identification module 102, searches and obtains TV programme corresponding to this medical features.Such as, if identify the user of TV 1 for male adult, then acquisition module 103 access services device 2, search and obtain the TV programme such as news, stock, motion.If the medical features identified is the user of TV 1 is female adult, then acquisition module 103 obtains the TV programme such as shopping, beauty treatment on a server 2.If the user that the medical features identified is TV 1 is children, then acquisition module 103 obtains the TV programme such as cartoon, children education on a server 2.
Step S34, display module 104 shows the above-mentioned TV programme got on TV 1, watches for user.
It should be noted last that, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to preferred embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not depart from the spirit and scope of technical solution of the present invention.
Claims (8)
1. a TV user recognition system, runs in TV, it is characterized in that, this system comprises:
Control module, identifies all nodes of the user's skeleton before TV for control 3D depth transducer;
Computing module, for all nodes according to the user's skeleton identified, calculates the framework characteristic value of user;
Identification module, for according to the framework characteristic value of user in medical features corresponding to this framework characteristic value of database lookup;
Acquisition module, for accessing the server be connected with TV, obtains the TV programme corresponding to described medical features in this server; And
Display module, for the TV programme got described in showing on TV.
2. TV user recognition system as claimed in claim 1, it is characterized in that, described computing module goes out the distance value between all adjacent nodes of user's skeleton according to all node calculate of user's skeleton, and utilizes the distance value between this adjacent node to calculate the framework characteristic value of user.
3. TV user recognition system as claimed in claim 2, it is characterized in that, described framework characteristic value comprises height, shoulder breadth and hip breadth ratio value.
4. TV user recognition system as claimed in claim 1, is characterized in that, storing the formula for calculating each framework characteristic value in described database, and the framework characteristic value of the different medical features human bodies in each area.
5. a TV user recognition methods, run in electrical equipment, it is characterized in that, the method comprises:
Rate-determining steps, control 3D depth transducer identifies all nodes of the user's skeleton before TV;
Calculation procedure, according to all nodes of the user's skeleton identified, calculates the framework characteristic value of user;
Identification step, according to the framework characteristic value of user in medical features corresponding to this framework characteristic value of database lookup;
Obtaining step, accesses the server be connected with TV, obtains the TV programme corresponding to described medical features in this server; And
Step display, the TV programme got described in display on TV.
6. TV user recognition methods as claimed in claim 5, it is characterized in that, described calculation procedure comprises: utilize all node calculate of described user's skeleton to go out distance value between all adjacent nodes of user's skeleton, and calculate the framework characteristic value of user according to the distance value between this adjacent node.
7. TV user recognition methods as claimed in claim 6, it is characterized in that, described framework characteristic value comprises height, shoulder breadth and hip breadth ratio value.
8. TV user recognition methods as claimed in claim 5, it is characterized in that, the method also comprises: the database of described TV provides the formula calculating each framework characteristic value and the framework characteristic value of the different medical features human bodies in each area.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310308941.7A CN104333804A (en) | 2013-07-22 | 2013-07-22 | Television user identification system and method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310308941.7A CN104333804A (en) | 2013-07-22 | 2013-07-22 | Television user identification system and method |
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| CN104333804A true CN104333804A (en) | 2015-02-04 |
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| CN201310308941.7A Pending CN104333804A (en) | 2013-07-22 | 2013-07-22 | Television user identification system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106303699A (en) * | 2016-08-24 | 2017-01-04 | 三星电子（中国）研发中心 | For the method and apparatus playing TV programme |
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| CN101950358A (en) * | 2010-09-30 | 2011-01-19 | 冠捷显示科技（厦门）有限公司 | Method for automatically estimating age and judging sex by intelligent television |
| CN102221877A (en) * | 2010-03-29 | 2011-10-19 | 微软公司 | Parental control settings based on body dimensions |
| CN102970606A (en) * | 2012-12-04 | 2013-03-13 | 深圳Tcl新技术有限公司 | Television program recommending method and device based on identity identification |
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2013
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Patent Citations (5)
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| CN1716273A (en) * | 2004-06-28 | 2006-01-04 | 李剑华 | Outer shape structure of commercial guest greeting robot and identifying method |
| US20090292672A1 (en) * | 2008-05-20 | 2009-11-26 | Samsung Electronics Co., Ltd. | system and method for facilitating access to audo/visual content on an electronic device |
| CN102221877A (en) * | 2010-03-29 | 2011-10-19 | 微软公司 | Parental control settings based on body dimensions |
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| CN106303699A (en) * | 2016-08-24 | 2017-01-04 | 三星电子（中国）研发中心 | For the method and apparatus playing TV programme |
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Application publication date: 20150204 |