CN110475153A - Program commending method based on radar identification - Google Patents
Program commending method based on radar identification Download PDFInfo
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- CN110475153A CN110475153A CN201910784224.9A CN201910784224A CN110475153A CN 110475153 A CN110475153 A CN 110475153A CN 201910784224 A CN201910784224 A CN 201910784224A CN 110475153 A CN110475153 A CN 110475153A
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- human body
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- manikin
- radar
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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
-
- 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
-
- 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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
-
- 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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Social Psychology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Biomedical Technology (AREA)
- Human Computer Interaction (AREA)
- Theoretical Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention relates to program recommendation technologies, solve current program commending method and are easy leakage privacy of user and user's inconvenient problem with use.Technical solution is summarized are as follows: the program commending method based on radar identification, it is detected by radar, extract characteristics of human body, the characteristics of human body extracted is matched with manikin, judge that corresponding human body is old user or new user, program is recommended according to its program recommended parameter for old user, program is recommended at random for new user, and manikin deposit manikin library is established according to its characteristics of human body.Beneficial effect is: the present invention will not reveal the privacy of user, and user is more convenient to use.
Description
Technical field
The present invention relates to program recommendation technologies, in particular to the program recommendation technologies based on radar identification.
Background technique
In recent years, along with the development of information technology and universal, people more and more pay close attention to favorite program and carry out
Viewing, usual program recommendation system can recommend different programs for different users, to improve the broadcasting rate for recommending program, this
It just needs to identify the identity of user.At present when program is recommended, generally pass through recognition of face, fingerprint recognition, RFID etc.
Mode identifies user identity.It when using recognition of face, needs that camera is installed, so that the privacy of user is easy to be let out
Dew；It when using fingerprint recognition, needs user that could complete to identify close to fingerprint identification device, causes user inconvenient to use；It adopts
When with RFID identification, user is needed to wear corresponding electronic tag, it is also inconvenient to use.
Summary of the invention
The present invention is to solve that current program commending method is easy leakage privacy of user and user is inconvenient to use asks
Topic, provides a kind of program commending method based on radar identification.
To solve the above problems, the technical solution adopted by the present invention is that:
Program commending method based on radar identification, comprising the following steps:
Step 1: being detected by radar, the characteristics of human body of each human body in predeterminable area is extracted；
Step 2: respectively by each manikin in the characteristics of human body of each human body extracted and manikin library into
Row matching, for the characteristics of human body of any human body, if any manikin in the characteristics of human body of the human body and manikin library
Successful match determines the human body then for old user, otherwise determines that the human body is new user；
Step 3: judging the quantity of old user and Xin user in predeterminable area, if only old user, corresponding old use is obtained
The program recommended parameter at family, recommends program according to the program recommended parameter of corresponding old user, if only new user, pushes away at random
Program is recommended, and establishes the manikin of each new user according to the characteristics of human body of each new user respectively, and by the human body of foundation
Model is stored in manikin library, if existing simultaneously old user and Xin user, obtains the program recommended parameter of corresponding old user,
Recommend program according to the program recommended parameter of corresponding old user, and is established respectively according to the characteristics of human body of each new user each
The manikin of new user, and the manikin of foundation is stored in manikin library.
As advanced optimizing, the step 1 specifically uses following steps:
Step A: predeterminable area, and receives echo-signal are sent for electromagnetic wave by radar；
Step B: Fourier transformation is carried out to the distance dimension information of echo-signal first, then to transformed echo-signal
Maximum searching is carried out, the data in the pre-determined distance centered on each maximum is then extracted respectively, obtains each individual
The echo sequence of body；
Step C: the breathing of each human body is obtained from the echo sequence of each human body respectively by way of filtering screening
Characteristic signal and/or heart rate characteristic signal, then the respiratory characteristic signal of each human body and/or heart rate characteristic signal are carried out respectively
Noise reduction and Fast Fourier Transform (FFT) obtain the respiratory characteristic and/or cardiac motion feature of each human body.
As advanced optimizing, after obtaining the echo sequence of each human body in the step B, respectively to each human body
The phase information of echo sequence is handled, and makes the phase of the echo sequence of each human body between [- π, π].
As advanced optimizing, in the step C using bandpass filter obtain each human body respiratory characteristic signal and/
Or heart rate characteristic signal, respiratory characteristic signal can be obtained when the passband of bandpass filter is set as 0.1-0.6Hz, work as band
The passband of bandpass filter can obtain heart rate characteristic signal when being set as 0.8-4Hz.
As advanced optimizing, the pre-determined distance uses 30-50cm.
As advanced optimizing, established respectively based on SVM each according to the characteristics of human body of each new user in the step 3
The manikin of a new user.
As advanced optimizing, in the step 3, if existing simultaneously old user and Xin user, also parallel recommendation is random to be saved
Mesh.
As advanced optimizing, the program recommended parameter is using history viewing record and/or the happiness of preset program viewing
It is good.
Beneficial effect is: the present invention is based on Radar Technology to extract characteristics of human body, will be in characteristics of human body and manikin library
Each manikin matched, to identify the identity of user, and then recommend personalized program for user, due to being not required to
Camera is installed, therefore the present invention will not reveal the privacy of user, and acquire characteristics of human body based on radar, not need user
Close to relevant device, user's carrying electronic label is not needed yet, user is more convenient to use.
Specific embodiment
The following detailed description of technical solution of the present invention.
Program commending method provided by the invention based on radar identification, comprising the following steps:
Step 1: being detected by radar, the characteristics of human body of each human body in predeterminable area is extracted；Lead in this step
It crosses radar and sends electromagnetic wave signal, then the echo-signal received is analyzed and processed, can be collected in preset areas
The characteristics of human body of each user in domain.
Step 2: respectively by each manikin in the characteristics of human body of each human body extracted and manikin library into
Row matching, for the characteristics of human body of any human body, if any manikin in the characteristics of human body of the human body and manikin library
Successful match determines the human body then for old user, otherwise determines that the human body is new user；It may determine that preset areas by this step
Whether each user in domain used relevant device to watch program, and judging result is as the basis recommended followed by program.
Step 3: judging the quantity of old user and Xin user in predeterminable area, if only old user, corresponding old use is obtained
The program recommended parameter at family, recommends program according to the program recommended parameter of corresponding old user, if only new user, pushes away at random
Program is recommended, and establishes the manikin of each new user according to the characteristics of human body of each new user respectively, and by the human body of foundation
Model is stored in manikin library, if existing simultaneously old user and Xin user, obtains the program recommended parameter of corresponding old user,
Recommend program according to the program recommended parameter of corresponding old user, and is established respectively according to the characteristics of human body of each new user each
The manikin of new user, and the manikin of foundation is stored in manikin library；This step be based on when program recommendation
Judging result in above-mentioned steps two recommends program according to the program recommended parameter of old user if there is old user, if only
New user, then at random recommend program, wherein when old user has it is multiple when, an old user can be selected according to preset mode,
Recommend program according to the program recommended parameter of selected old user, can also be recommended respectively according to the program of each old user
Parameter recommends program parallel.
The above method is advanced optimized, specifically may is that
Above-mentioned steps one can specifically use following steps:
Step A: predeterminable area, and receives echo-signal are sent for electromagnetic wave by radar；
Step B: Fourier transformation is carried out to the distance dimension information of echo-signal first, then to transformed echo-signal
Maximum searching is carried out, the data in the pre-determined distance centered on each maximum is then extracted respectively, obtains each individual
The echo sequence of body；The i.e. corresponding each reflected data of human body target of data near above-mentioned each maximum point, then it is right
Vicinity data extract, and the echo sequence of each human body can be obtained.
Step C: the breathing of each human body is obtained from the echo sequence of each human body respectively by way of filtering screening
Characteristic signal and/or heart rate characteristic signal, then the respiratory characteristic signal of each human body and/or heart rate characteristic signal are carried out respectively
Noise reduction and Fast Fourier Transform (FFT) obtain the respiratory characteristic and/or cardiac motion feature of each human body.
After the echo sequence for obtaining each human body in above-mentioned steps B, respectively to the phase of the echo sequence of each human body
Information is handled, and makes the phase of the echo sequence of each human body between [- π, π]；This operation can help to enhance heart rate
Breath signal and elimination phase drift.
The respiratory characteristic signal and/or heart rate characteristic signal of each human body are obtained using bandpass filter in above-mentioned steps C,
Respiratory characteristic signal can be obtained when the passband of bandpass filter is set as 0.1-0.6Hz, when the passband of bandpass filter
Band can obtain heart rate characteristic signal when being set as 0.8-4Hz.
Pre-determined distance in above-mentioned steps B can use 30-50cm, because the body thickness of human body is generally 30-50cm,
The data extracted within the scope of this are more accurate and reliable as human body echo sequence.
Above-mentioned state in step 3 can establish each new user based on SVM respectively according to the characteristics of human body of each new user
Manikin.
In above-mentioned steps three, if existing simultaneously old user and Xin user, then in the program recommended parameter according to old user
When recommending program, also recommend random program parallel, in this way can when old user and Xin user exist simultaneously, take into account old user and
The viewing demand of new user.
Above-mentioned program recommended parameter can be using history viewing record and/or preset program viewing hobby.
Claims (8)
1. the program commending method based on radar identification, which comprises the following steps:
Step 1: being detected by radar, the characteristics of human body of each human body in predeterminable area is extracted；
Step 2: respectively by each manikin progress in the characteristics of human body of each human body extracted and manikin library
Match, for the characteristics of human body of any human body, if the characteristics of human body of the human body matches with any manikin in manikin library
Success determines the human body then for old user, otherwise determines that the human body is new user；
Step 3: judging the quantity of old user and Xin user in predeterminable area, if only old user, obtain corresponding old user's
Program recommended parameter recommends program according to the program recommended parameter of corresponding old user, random to recommend section if only new user
Mesh, and establish the manikin of each new user according to the characteristics of human body of each new user respectively, and by the manikin of foundation
It is stored in manikin library, if existing simultaneously old user and Xin user, obtains the program recommended parameter of corresponding old user, according to
The program recommended parameter of corresponding old user establishes each new use according to the characteristics of human body of each new user respectively to recommend program
The manikin at family, and the manikin of foundation is stored in manikin library.
2. the program commending method as described in claim 1 based on radar identification, which is characterized in that the step 1 tool
Body uses following steps:
Step A: predeterminable area, and receives echo-signal are sent for electromagnetic wave by radar；
Step B: Fourier transformation is carried out to the distance dimension information of echo-signal first, then transformed echo-signal is carried out
Then maximum searching extracts the data in the pre-determined distance centered on each maximum respectively, obtains each human body
Echo sequence；
Step C: the respiratory characteristic of each human body is obtained from the echo sequence of each human body respectively by way of filtering screening
Signal and/or heart rate characteristic signal, then noise reduction is carried out to the respiratory characteristic signal of each human body and/or heart rate characteristic signal respectively
And Fast Fourier Transform (FFT), obtain the respiratory characteristic and/or cardiac motion feature of each human body.
3. the program commending method as claimed in claim 2 based on radar identification, which is characterized in that in the step B
After obtaining the echo sequence of each human body, the phase information of the echo sequence of each human body is handled respectively, is made each
The phase of the echo sequence of human body is between [- π, π].
4. the program commending method as claimed in claim 2 based on radar identification, which is characterized in that in the step C
The respiratory characteristic signal and/or heart rate characteristic signal of each human body are obtained using bandpass filter, when the passband of bandpass filter
Band can obtain respiratory characteristic signal when being set as 0.1-0.6Hz, the energy when the passband of bandpass filter is set as 0.8-4Hz
Access heart rate characteristic signal.
5. the program commending method as claimed in claim 2 based on radar identification, which is characterized in that the pre-determined distance
Using 30-50cm.
6. the program commending method as described in claim 1 based on radar identification, which is characterized in that in the step 3
Respectively according to the characteristics of human body of each new user, the manikin of each new user is established based on SVM.
7. the program commending method as described in claim 1 based on radar identification, which is characterized in that the step 3
In, if existing simultaneously old user and Xin user, also recommend random program parallel.
8. the program commending method as described in claim 1 based on radar identification, which is characterized in that the program is recommended
Parameter is using history viewing record and/or preset program viewing hobby.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112686094A (en) * | 2020-12-03 | 2021-04-20 | 华中师范大学 | Non-contact identity recognition method and system based on millimeter wave radar |
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Application publication date: 20191119 |