CN108932336A - Information recommendation method, electric terminal and computer readable storage medium message - Google Patents
Information recommendation method, electric terminal and computer readable storage medium message Download PDFInfo
- Publication number
- CN108932336A CN108932336A CN201810757286.6A CN201810757286A CN108932336A CN 108932336 A CN108932336 A CN 108932336A CN 201810757286 A CN201810757286 A CN 201810757286A CN 108932336 A CN108932336 A CN 108932336A
- Authority
- CN
- China
- Prior art keywords
- user
- information
- motor pattern
- electric terminal
- sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
A kind of information recommendation method, electric terminal and computer readable storage medium, wherein the information recommendation method includes: the motor pattern for identifying that user is current;Characteristic point based on reference information, the target information that search matches with the characteristic point, wherein the reference information is preset and associated with the motor pattern currently identified;The target information is exported, to recommend the target information to the user.Scheme provided by the present application may be implemented the information based on motor pattern and recommend automatically.
Description
Technical field
This application involves information technology field more particularly to a kind of information recommendation methods, electric terminal and computer-readable
Storage medium.
Background technique
With the development of electric terminal technology and internet, electric terminal gradually moves towards intelligent, mobile and multi-functional
Change, such as smart phone, tablet computer and the wearable smart machine electric terminal of current mainstream.User can by electric terminal
Various information are browsed to, demand of the user in the information age to information is met.
However, the increasing substantially for bring network information amount with the rapid development of network, so that user is in face of big
It is difficult to therefrom obtain the part information useful to oneself when measuring information, here it is so-called information overload (i.e. information
Overload) problem.
In order to solve information overload problem, most of platforms can provide the function of search of information, and user can be searched by this
The interested information of rope searching functions.Although user can filter out many unrelated information by search, this needs to use
Family enters the respective interface of corresponding platform, and keyword is then inputted in search text box, and starting search later is just able to achieve phase
The push of information is closed, whole process is very complicated.
Summary of the invention
The embodiment of the present application a kind of information recommendation method, electric terminal and computer readable storage medium are provided, it can be achieved that
Information based on motor pattern is recommended automatically.
The embodiment of the present application first aspect provides a kind of information recommendation method, comprising:
Identify the current motor pattern of user;
Characteristic point based on reference information, the target information that search matches with the characteristic point, wherein described with reference to letter
Breath is preset and associated with the motor pattern currently identified;
The target information is exported, to recommend the target information to the user.
The embodiment of the present application second aspect provides a kind of electric terminal, comprising:
Recognition unit, for identification current motor pattern of user;
Search unit searches for the target information to match with the characteristic point for the characteristic point based on reference information,
In, the reference information is preset and associated with the motor pattern currently identified;
Output unit, for exporting the target information, to recommend the target information to the user.
The embodiment of the present application third aspect provides another electric terminal, comprising: memory, processor and is stored in described
It is real when the processor executes the computer program on memory and the computer program that can run on the processor
The information recommendation method that existing above-mentioned the embodiment of the present application first aspect provides.
The embodiment of the present application fourth aspect provides a kind of computer readable storage medium, is stored thereon with computer program,
When the computer program is executed by processor, the information recommendation method that above-mentioned the embodiment of the present application first aspect provides is realized.
Therefore the motor pattern that application scheme is current by identification user, and the characteristic point based on reference information,
The target information that search matches with this feature point, exports the target information later, realizes the information based on motor pattern certainly
It is dynamic to recommend.Also, since reference information is to preset and associated with the motor pattern currently identified, by right
The reasonable setting of reference information under different motion mode, may make the target information maximum probability being matched to based on corresponding reference information
Interested information when being in corresponding sports mode for user, to meet the needs of users.
Detailed description of the invention
Fig. 1-a is information recommendation method one embodiment flow diagram provided by the present application;
Fig. 1-b is a kind of method flow schematic diagram of motor pattern that identification user is current provided by the present application;
Fig. 2 is electric terminal one embodiment structural schematic diagram provided by the present application;
Fig. 3 is another example structure schematic diagram of electric terminal provided by the present application.
Specific embodiment
To enable present invention purpose, feature, advantage more obvious and understandable, below in conjunction with the application
Attached drawing in embodiment, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described reality
Applying example is only some embodiments of the present application, and not all embodiments.Based on the embodiment in the application, those skilled in the art
Member's every other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Embodiment one
The embodiment of the present application provides a kind of information recommendation method, which is applied to electric terminal, the electronics
Terminal can be the equipment of the mountable application programs such as smart phone, tablet computer, wearable device, the behaviour of above-mentioned electric terminal
Making system can be ios, android, windows system or other operating systems, be not construed as limiting herein.
Fig. 1-a is please referred to, which mainly comprises the steps that
The current motor pattern of step 101, identification user;
In the embodiment of the present application, motor pattern can be any one motion state, such as: running, automobile, is done walking
Behaviour etc..
In a kind of application scenarios, the data of user can be acquired by sensor and are somebody's turn to do based on the identification of collected data
The current motor pattern of user, then as shown in Fig. 1-b, step 101 may include:
Step 1011, the data based on sensor acquisition user;
Wherein, the sensor may include following one or more: acceleration transducer, direction sensor, gyro
Instrument, range sensor, light sensor, altitudinal instrument, body temperature transducer, heart rate sensor and blood pressure monitor.
In step 1011, the sensor that the sensor can carry for electric terminal, then electric terminal can be direct
The data of the user of the electric terminal are acquired based on included sensor.Alternatively, the sensor may be and electric terminal
Communication connection external sensor (external sensor can be distributed in the positions such as neck, wrist portion, waist, the lower limb of user, with
Acquire the sensing data generated by the movement of human body different parts), it, can after external sensor collects the data of user
Collected data are sent to above-mentioned electric terminal by wired or wireless mode.
Step 1012 identifies the current motor pattern of above-mentioned user based on current collected data;
By the collected data of sensor, available multi-modal information, and then identify the current movement mould of user
Formula.For example, walking, the motor patterns such as run, climb the mountain, cycling can be believed by leg speed, four limbs shaking amplitude, heart rate, height above sea level and GPS
The data separations such as breath;Play table tennis, play tennis and play badminton etc. to small ball relevant motor pattern, appearance of swinging the bat can be passed through
The data separations such as gesture, wrist vibration amplitude;Play basketball, play volleyball and play soccer etc. to big ball relevant motor pattern, can lead to
Cross the data separations such as four limbs shaking amplitude;Aquatic sports can utilize the data separations such as hydraulic pressure.
Since the exercise habit or physical efficiency of different user are different, even if under same motor pattern, same to type
The sensor of type is also not necessarily identical for the collected data of different user.Therefore, in the embodiment of the present application, can be in advance
User creates motion model, i.e. the data training by acquisition user under various motor patterns obtains the movement mould of the user
Type, specifically, the information recommendation method in the embodiment of the present application further include: create the motion model of above-mentioned user, wherein above-mentioned
Motion model is based on the collected data training of sensor under various motor patterns and obtains.It in step 1012, can be with
The motion model that current collected data are inputted to the user, obtains the current motor pattern of above-mentioned user.
Optionally, above-mentioned motion model can be obtained based on neural metwork training, and more specifically, above-mentioned motion model can be with
It is obtained based on deep neural network training.
In another application scenarios, motor pattern that can also be current based on the speech recognition user of input, such as:
When the programmable button of electric terminal is triggered while being triggered (such as the key of entitled " movement recommend "), the voice of input is acquired,
And the motor pattern that speech recognition user based on input is current.In concrete application scene, such as user can be triggered with a key
Then the key of " movement is recommended " entitled on electric terminal inputs voice (for example, voice of input " I is running "), is based on language
Sound identification technology identifies the voice of input, that is, can recognize the current motor pattern of user (such as running).
Certainly, in a step 101, the current motor pattern of user can also be identified otherwise.
Optionally, above-mentioned reference information is specially music, then step 101 can be showed themselves in that work as and be listened at electric terminal
In music state or when listening to the music application of above-mentioned electric terminal and being placed in the foreground of above-mentioned electric terminal, know
The current motor pattern of the user of not above-mentioned electric terminal.
Step 102, the characteristic point based on reference information, the target information that search matches with features described above point;
Wherein, above-mentioned reference information is preset and associated with the motor pattern currently identified.
In a step 102, the characteristic point of reference information, and the target information to match based on this feature point search are extracted.
Specifically, the target information to match can be searched in preset server based on this feature point, for example, being sound for type
Happy reference information can extract the characteristic point (such as rhythm, beat, melody etc.) of the music, later in preset music garment
Other music that the characteristic point of search and the music matches in business device, the other music that will match to are believed as above-mentioned target
Breath.In another example being the reference information of sports equipment for type, characteristic point (such as the locomotory apparatus of the sports equipment can be extracted
Type, brand of material etc.), the commodity to match with the characteristic point of the sports equipment are searched in preset network shopping mall later,
The commodity that will match to are as above-mentioned target information.
Optionally, above-mentioned reference information can be carried out under each motor pattern by user customized in advance, for example, user can
Using under " running " this motor pattern by music " Runaway Baby " as reference information and " running " this motor pattern
It is associated.In another example music " It's my life " can be used as reference information under " riding " this motor pattern by user
It is associated with " riding " this motor pattern.On this basis, before step 101, the information recommendation in the embodiment of the present application
Method further includes the customized step of reference information, comprising: the customized reference information under target motor pattern is received,
In, above-mentioned target motor pattern is the currently selected motor pattern selected;Above-mentioned customized reference information and above-mentioned target are transported
Dynamic model formula is associated.
Step 103, the above-mentioned target information of output, to recommend above-mentioned target information to above-mentioned user;
After step 102 is matched to target information, above-mentioned target information is exported, to recommend above-mentioned target letter to above-mentioned user
Breath.It should be noted that above-mentioned target information can be that one or more can be by when above-mentioned target information is multiple
According to target information corresponding with the descending Sequential output of the matching degree of above-mentioned reference information.For example, when step 102 is matched to
When multiple target informations, the recommendation list comprising multiple target information, in the recommendation list, target are can be generated and exported
Information sorts according to the descending sequence of the matching degree of above-mentioned reference information.
Optionally, step 103, which can be showed themselves in that, shows above-mentioned target information by the display of electric terminal.Alternatively, if
There are the information of music type in the target information that step 102 is matched to, then can also be based on the music class that step 102 searches
The target information of type generates music playlist, and plays the music in the music playlist automatically.
Therefore by identifying the current motor pattern of user, and the spy based on reference information in the embodiment of the present application
Point is levied, the target information that search matches with this feature point exports the target information later, realizes the letter based on motor pattern
Breath is automatic to be recommended.Also, since reference information is to preset and associated with the motor pattern currently identified, lead to
The reasonable setting to reference information under different motion mode is crossed, may make the target information being matched to based on corresponding reference information big
Probability is that user is in interested information when corresponding sports mode, to meet the needs of users.
Below for recommending music to user, the information recommendation method in above-described embodiment is illustrated.Should
With in scene, information recommendation method can be divided into the following three stage:
One, motion model learns the stage.In this stage, one's own motion model, example can be pre-created in user
Such as, user can acquire itself data and input by sensor by triggering electric terminal under the motor patterns such as run, ride
It is trained in motion model, so that the motion model may learn data of the user under various motor patterns.
Two, the music customized stage.In this stage, user can be arranged and motor pattern phase under various motor patterns
Associated music, for example, user can choose the motor pattern (i.e. target motor pattern) of reference information to be provided as, and
The music for the head or two head or more for liking listening under the motor pattern is imported under the motor pattern, imported music is made at this time
It is associated with the motor pattern for reference information, to realize the customized of reference information.
Three, music recommends the stage.In this stage, it is in music state or listens to when listening to electric terminal
The music application for stating electric terminal is placed in the foreground of above-mentioned electric terminal or meets other trigger conditions (such as electronics is whole
The programmable button at end is triggered) when, the data of user can be acquired based on sensor, and current collected data input is used
The motion model (i.e. the motion model of the creation of stage one) at family, obtains the current motor pattern of the user;It extracts and the use later
The characteristic point (such as rhythm, beat, melody etc.) of the associated music of the current motor pattern in family, in preset music servers
Other music that the characteristic point of search and the music matches, the other music that will match to are as above-mentioned target information and generate
Music playlist comprising above-mentioned target information;The music in the music playlist, Huo Zhexian can be played automatically later
Show the music playlist, is selectively played for user.
It should be noted that stage one and stage two belong to the process of initialization, motion model and customized is being created
After parameter information, the subsequent operation that can no longer execute in stage one and stage two.Certainly, user can also enter the stage at any time
One and the stage two, to adjust motion model and parameter information.
Embodiment two
Embodiment two
Fig. 2 provides a kind of electric terminal for the embodiment of the present application.The electric terminal can be used for realizing above method embodiment
The above-mentioned target information provided.As shown in Fig. 2, the electric terminal specifically includes that
Recognition unit 201, for identification current motor pattern of user;
Search unit 202, for the characteristic point based on reference information, search is believed with the target that the characteristic point matches
Breath, wherein the reference information is preset and associated with the motor pattern currently identified;
Output unit 203, for exporting the target information, to recommend the target information to the user.
Optionally, recognition unit 201 includes:
Acquisition unit, for the data based on sensor acquisition user;
Sub- recognition unit, for currently collected data to identify the current movement of the user based on above-mentioned acquisition unit
Mode;
Wherein, the sensor includes following one or more kinds of:
Acceleration transducer, direction sensor, gyroscope, range sensor, light sensor, altitudinal instrument, body temperature sensing
Device, heart rate sensor and blood pressure monitor.
Optionally, the electric terminal in the embodiment of the present application further include:
Creating unit, for creating the motion model of the user, wherein the motion model is based in various movement moulds
The collected data training of sensor obtains under formula;
Above-mentioned sub- recognition unit is specifically used for: by above-mentioned acquisition unit, currently collected data input the fortune of the user
Movable model obtains the current motor pattern of above-mentioned user.
Optionally, the electric terminal in the embodiment of the present application further include:
Receiving unit, for receiving the customized reference information under target motor pattern, wherein the target moves mould
Formula is the currently selected motor pattern selected;
Associative cell, for the customized reference information is associated with the target motor pattern.
Optionally, the reference information is specially music.Recognition unit 201 is specifically used for: when listening at electric terminal
In music state or when listening to the music application of the electric terminal and being placed in the foreground of the electric terminal, know
The current motor pattern of the user of the not described electric terminal.
Further, output unit 203 includes:
List generation unit, the target information for being searched based on search unit 202 generate music playlist;
Broadcast unit, for playing the music in above-mentioned music playlist automatically.
It should be noted that the division of each functional module is only to lift in the embodiment of the exemplary electric terminal of figure 2 above
Example explanation, can according to need in practical application, such as the convenient of realization of configuration requirement or software of corresponding hardware considers,
And be completed by different functional modules above-mentioned function distribution, i.e., the internal structure of electric terminal is divided into different function moulds
Block, to complete all or part of the functions described above.Moreover, in practical applications, the corresponding function in the present embodiment
Module can be by corresponding hardware realization, can also execute corresponding software by corresponding hardware and complete.This specification provides
Each embodiment all can apply foregoing description principle, repeat no more below.
The detailed process of the respective function of each Implement of Function Module, refers to above-mentioned side in electric terminal provided in this embodiment
Particular content described in method embodiment, details are not described herein again.
Therefore the motor pattern that the embodiment of the present application is current by identification user, and the feature based on reference information
Point, the target information that search matches with this feature point, exports the target information later, realizes the information based on motor pattern
It is automatic to recommend.Also, since reference information is to preset and associated with the motor pattern currently identified, pass through
Reasonable setting to reference information under different motion mode, may make the target information being matched to based on corresponding reference information general
Rate is that user is in interested information when corresponding sports mode, to meet the needs of users.
Embodiment three
The embodiment of the present application provides a kind of electric terminal, referring to Fig. 3, the electric terminal includes:
Memory 301, processor 302 and it is stored in the computer journey that can be run on memory 301 and on processor 302
Sequence when processor 302 executes the computer program, realizes information recommendation method described in preceding method embodiment.
Further, the electric terminal further include:
At least one input equipment 303 and at least one output equipment 304.
Above-mentioned memory 301, processor 302, input equipment 303 and output equipment 304, are connected by bus 305.
Wherein, input equipment 303 concretely camera, touch panel, physical button or mouse etc..Output equipment
304 concretely display screens.
Memory 301 can be high random access memory body (RAM, Random Access Memory) memory,
It can be non-labile memory (non-volatile memory), such as magnetic disk storage.Memory 301 is for storing one
Group executable program code, processor 302 are coupled with memory 301.
Further, the embodiment of the present application also provides a kind of computer readable storage medium, the computer-readable storages
Medium can be in the electric terminal being set in the various embodiments described above, which can be earlier figures 3
Memory in illustrated embodiment.It is stored with computer program on the computer readable storage medium, which is held by processor
Information recommendation method described in preceding method embodiment is realized when row.Further, the computer can storage medium can be with
It is that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), RAM, magnetic or disk etc. are various to deposit
Store up the medium of program code.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the module, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple module or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or logical of device or module
Letter connection can be electrical property, mechanical or other forms.
The module as illustrated by the separation member may or may not be physically separated, aobvious as module
The component shown may or may not be physical module, it can and it is in one place, or may be distributed over multiple
On network module.Some or all of the modules therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
It, can also be in addition, can integrate in a processing module in each functional module in each embodiment of the application
It is that modules physically exist alone, can also be integrated in two or more modules in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.
If the integrated module is realized in the form of software function module and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a readable storage medium storing program for executing, including some instructions are used so that a meter
It calculates machine equipment (can be personal computer, server or the network equipment etc.) and executes each embodiment the method for the application
All or part of the steps.And readable storage medium storing program for executing above-mentioned includes: USB flash disk, mobile hard disk, ROM, RAM, magnetic or disk etc.
The various media that can store program code.
It should be noted that for the various method embodiments described above, describing for simplicity, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, certain steps can use other sequences or carry out simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules might not all be this Shen
It please be necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiments.
The above are retouching to information recommendation method provided herein, electric terminal and computer readable storage medium
It states, for those skilled in the art, according to the thought of the embodiment of the present application, can in specific embodiments and applications
There is change place, to sum up, the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of information recommendation method characterized by comprising
Identify the current motor pattern of user;
Characteristic point based on reference information, the target information that search matches with the characteristic point, wherein the reference information is pre-
First it is arranged and associated with the motor pattern currently identified;
The target information is exported, to recommend the target information to the user.
2. information recommendation method according to claim 1, which is characterized in that the current motor pattern packet of the identification user
It includes:
Data based on sensor acquisition user;
The current motor pattern of the user is identified based on current collected data;
Wherein, the sensor includes following one or more kinds of:
Acceleration transducer, direction sensor, gyroscope, range sensor, light sensor, altitudinal instrument, body temperature transducer, the heart
Rate sensor and blood pressure monitor.
3. information recommendation method according to claim 2, which is characterized in that the information recommendation method further include:
Create the motion model of the user, wherein the motion model is based on the sensor under various motor patterns and adopts
The data training collected obtains;
It is described to identify the current motor pattern of the user based on current collected data are as follows:
The motion model that current collected data are inputted to the user, obtains the current motor pattern of the user.
4. information recommendation method according to any one of claims 1 to 3, which is characterized in that the identification user is current
Before motor pattern further include:
Receive the customized reference information under target motor pattern, wherein the target motor pattern is currently selected to be selected
Motor pattern;
The customized reference information is associated with the target motor pattern.
5. information recommendation method according to any one of claims 1 to 3, which is characterized in that the reference information is specially
Music;
The current motor pattern of the identification user are as follows:
It is placed in when listening to electric terminal and being in music state or listen to the music application of the electric terminal
When the foreground of the electric terminal, the current motor pattern of the user of the electric terminal is identified.
6. information recommendation method according to claim 5, which is characterized in that the output target information, with to institute
Stating user's recommendation target information includes:
Based on the target information searched, music playlist is generated;
Automatically the music in the music playlist is played.
7. a kind of electric terminal characterized by comprising
Recognition unit, for identification current motor pattern of user;
Search unit, the target information to match for the characteristic point based on reference information, search with the characteristic point, wherein
The reference information is preset and associated with the motor pattern currently identified;
Output unit, for exporting the target information, to recommend the target information to the user.
8. electric terminal according to claim 7, which is characterized in that the recognition unit includes:
Acquisition unit, for the data based on sensor acquisition user;
Sub- recognition unit, for currently collected data to identify the current movement mould of the user based on the acquisition unit
Formula;
Wherein, the sensor includes following one or more kinds of:
Acceleration transducer, direction sensor, gyroscope, range sensor, light sensor, altitudinal instrument, body temperature transducer, the heart
Rate sensor and blood pressure monitor.
9. a kind of electric terminal, comprising: memory, processor and be stored on the memory and can transport on the processor
Capable computer program, which is characterized in that when the processor executes the computer program, realize in claim 1 to 6
Any one the method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
When being executed by processor, any one the method in claim 1 to 6 is realized.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810757286.6A CN108932336A (en) | 2018-07-11 | 2018-07-11 | Information recommendation method, electric terminal and computer readable storage medium message |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810757286.6A CN108932336A (en) | 2018-07-11 | 2018-07-11 | Information recommendation method, electric terminal and computer readable storage medium message |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108932336A true CN108932336A (en) | 2018-12-04 |
Family
ID=64447024
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810757286.6A Pending CN108932336A (en) | 2018-07-11 | 2018-07-11 | Information recommendation method, electric terminal and computer readable storage medium message |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108932336A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112965998A (en) * | 2021-02-04 | 2021-06-15 | 成都健数科技有限公司 | Compound database establishing and searching method and system |
CN113633278A (en) * | 2021-07-20 | 2021-11-12 | 深圳市爱都科技有限公司 | Motion monitoring method, terminal device and computer-readable storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102449675A (en) * | 2009-04-27 | 2012-05-09 | 耐克国际有限公司 | Training program and music playlist generation for athletic training |
US20140277649A1 (en) * | 2013-03-15 | 2014-09-18 | Futurewei Technologies, Inc. | Music Recommendation Based on Biometric and Motion Sensors on Mobile Device |
CN105095214A (en) * | 2014-04-22 | 2015-11-25 | 北京三星通信技术研究有限公司 | Method and device for information recommendation based on motion identification |
CN105975496A (en) * | 2016-04-26 | 2016-09-28 | 清华大学 | Music recommendation method and device based on context sensing |
CN106649582A (en) * | 2016-11-17 | 2017-05-10 | 北京小米移动软件有限公司 | Recommendation method and device |
-
2018
- 2018-07-11 CN CN201810757286.6A patent/CN108932336A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102449675A (en) * | 2009-04-27 | 2012-05-09 | 耐克国际有限公司 | Training program and music playlist generation for athletic training |
US20140277649A1 (en) * | 2013-03-15 | 2014-09-18 | Futurewei Technologies, Inc. | Music Recommendation Based on Biometric and Motion Sensors on Mobile Device |
CN105095214A (en) * | 2014-04-22 | 2015-11-25 | 北京三星通信技术研究有限公司 | Method and device for information recommendation based on motion identification |
CN105975496A (en) * | 2016-04-26 | 2016-09-28 | 清华大学 | Music recommendation method and device based on context sensing |
CN106649582A (en) * | 2016-11-17 | 2017-05-10 | 北京小米移动软件有限公司 | Recommendation method and device |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112965998A (en) * | 2021-02-04 | 2021-06-15 | 成都健数科技有限公司 | Compound database establishing and searching method and system |
CN113633278A (en) * | 2021-07-20 | 2021-11-12 | 深圳市爱都科技有限公司 | Motion monitoring method, terminal device and computer-readable storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ihianle et al. | A deep learning approach for human activities recognition from multimodal sensing devices | |
Quaid et al. | Wearable sensors based human behavioral pattern recognition using statistical features and reweighted genetic algorithm | |
WO2019169854A1 (en) | Human-computer interaction method, and interactive robot | |
CN110119815A (en) | Model training method, device, storage medium and equipment | |
CN110349572A (en) | A kind of voice keyword recognition method, device, terminal and server | |
CN108345385A (en) | Virtual accompany runs the method and device that personage establishes and interacts | |
CN106445460B (en) | Control method and device | |
CN107316641B (en) | Voice control method and electronic equipment | |
Madhok et al. | SentiMozart: Music Generation based on Emotions. | |
Hyun et al. | Motion grammars for character animation | |
CN110135497A (en) | Method, the method and device of Facial action unit intensity estimation of model training | |
CN104318950B (en) | Information processing method and electronic equipment | |
CN108388600A (en) | Cosmetics recommend method and relevant apparatus | |
Ahad et al. | Action dataset—a survey | |
US20200176019A1 (en) | Method and system for recognizing emotion during call and utilizing recognized emotion | |
CN107847789A (en) | It is configured as realizing the framework of the gameization including the gameization specific to position, apparatus and method via the monitoring of sensor-based technical ability to physical performance | |
Fan et al. | Sensor fusion basketball shooting posture recognition system based on CNN | |
CN106201429A (en) | The control method of movement rhythm and device | |
CN108345612A (en) | A kind of question processing method and device, a kind of device for issue handling | |
CN105868382A (en) | Music recommendation method and system | |
CN107273857A (en) | The recognition methods of athletic performance and device, electronic equipment | |
Joshi et al. | An extensive review of computational dance automation techniques and applications | |
CN107851113A (en) | Be configured as based on derived from performance sensor unit user perform attribute and realize the framework of automatic classification and/or search to media data, apparatus and method | |
CN108932336A (en) | Information recommendation method, electric terminal and computer readable storage medium message | |
Wang et al. | Clustering-based emotion recognition micro-service cloud framework for mobile computing |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181204 |
|
RJ01 | Rejection of invention patent application after publication |