CN107413020B - Body-sensing body exercising machine and control method, body-sensing body-building system and control method - Google Patents
Body-sensing body exercising machine and control method, body-sensing body-building system and control method Download PDFInfo
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- CN107413020B CN107413020B CN201710619597.1A CN201710619597A CN107413020B CN 107413020 B CN107413020 B CN 107413020B CN 201710619597 A CN201710619597 A CN 201710619597A CN 107413020 B CN107413020 B CN 107413020B
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000012545 processing Methods 0.000 claims abstract description 74
- 230000033001 locomotion Effects 0.000 claims abstract description 27
- 230000002452 interceptive effect Effects 0.000 claims abstract description 14
- 239000000284 extract Substances 0.000 claims abstract description 13
- 210000000707 wrist Anatomy 0.000 claims description 31
- 230000003993 interaction Effects 0.000 claims description 26
- 230000003238 somatosensory effect Effects 0.000 claims description 25
- 230000000007 visual effect Effects 0.000 claims description 20
- 238000002329 infrared spectrum Methods 0.000 claims description 15
- 210000003127 knee Anatomy 0.000 claims description 9
- 238000001228 spectrum Methods 0.000 claims description 8
- 210000000038 chest Anatomy 0.000 claims description 7
- 210000002683 foot Anatomy 0.000 claims description 7
- 210000003128 head Anatomy 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- 210000003811 finger Anatomy 0.000 claims description 4
- 210000003423 ankle Anatomy 0.000 claims description 2
- 210000001061 forehead Anatomy 0.000 claims description 2
- 210000000115 thoracic cavity Anatomy 0.000 claims description 2
- 210000003813 thumb Anatomy 0.000 claims description 2
- 230000009471 action Effects 0.000 abstract description 5
- 238000000605 extraction Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 239000005338 frosted glass Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 210000004247 hand Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
- A63B2024/0068—Comparison to target or threshold, previous performance or not real time comparison to other individuals
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/805—Optical or opto-electronic sensors
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
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Abstract
The invention discloses a kind of body-sensing body exercising machine and control methods, body-sensing body-building system and control method, body-sensing body exercising machine control method are as follows: body-sensing body exercising machine system receives enabling signal, colour imagery shot, infrared ray projector and depth infrared camera are started to work, obtain image data, central processing module is superimposed image data and therefrom extracts interactive signal, is exported by output module；Body-sensing body-building system control method are as follows: body-sensing body exercising machine, background server and mobile terminal three, which cooperate, to be controlled.Both methods, which is all not necessarily to specific operation handle, to be interacted with machine, can accurately identify movement and the control action of human body, and user is allowed to have a good Interactive Experience；It can also be allowed among indirect user participates in user jointly and to interact by the body-sensing body-building system.
Description
Technical Field
The invention relates to a somatosensory fitness machine, a control method, a somatosensory fitness system and a control method.
Background
Most of the existing man-machine interaction technologies need to be operated through hardware devices such as a touch screen and a mouse or by using a specific wireless handle, the operation mode is single, certain limitation is realized, the operation mode is limited to entertainment, a user can only move joints of hands usually, the body cannot be effectively moved, and local fatigue of the body is easily caused.
Some somatosensory devices have low recognition degree on human body movement and control action, so that output interfaces are blocked or control operation is not smooth, and the feeling of human-computer interaction experienced by users is influenced; in addition, when a motion sensing device is operated, generally, only a single user can operate the motion sensing device, and a plurality of users cannot operate the motion sensing device simultaneously.
Disclosure of Invention
The invention aims to provide a body-sensing body-building machine, a control method, a body-sensing body-building system and a control method, which can interact with the machine without a specific operating handle, can accurately identify the motion and control action of a human body and enable a user to have good interaction experience; the body-sensing body-building system can also enable indirect users and users to participate in interaction together.
The technical scheme is as follows:
the somatosensory body building machine control method comprises the following steps:
the central processing module receives a starting instruction;
the color camera shoots images within a visual angle range to form color image data;
the infrared projector actively projects infrared spectrums within the range of shooting visual angles, and when the infrared spectrums meet a human body, the spectrums are distorted to form reflection spots;
reading and analyzing the reflection spots by a depth infrared camera to obtain depth image data within the shooting visual angle range;
the central processing module superposes the obtained color image data and the corresponding depth image data to form superposed image data;
the central processing module outputs the superposed image data through the output module.
Further, the somatosensory body building machine control method further comprises the following steps:
the central processing module extracts an interaction signal from the superposed image data according to the human body joint characteristics and outputs the interaction signal to the central processing module;
the interactive signal comprises a motion characteristic signal, the central processing module outputs a waiting signal through the output module, and when the human body joint characteristics corresponding to the motion characteristic signal are matched with the waiting signal, the central processing module obtains the motion characteristic signal and stores or subsequently analyzes the motion characteristic signal; or,
the interactive signal comprises a control characteristic signal, the central processing module outputs a signal to be selected through the output module, and when the human body joint characteristic corresponding to the control characteristic signal is matched with the signal to be selected, the central processing module receives the control characteristic signal and is used for controlling the central processing module.
Further, the human joint features at least comprise: head, elbow, hand, knee, and foot features; the head features respectively correspond to the positions of the middle part of the forehead and the middle part of the chin; the elbow feature corresponds to an elbow position; the hand features respectively correspond to the positions of the thumb end, the front end of the tail finger and the tail end of the tail finger; the knee feature corresponds to a knee position; the foot features correspond to the ankle and the middle of the sole, respectively.
The human body joint features further include a neck feature, a shoulder feature, a wrist feature, a chest feature, and a crotch feature; the neck features correspond to the middle of the neck; the shoulder features respectively correspond to the positions of the joints of the left shoulder, the right shoulder and the arm; the wrist feature corresponds to a wrist position; the chest features correspond to the middle position of the chest cavity; the crotch features correspond to the left, middle and right positions of the crotch respectively, and the distances between the middle position and the left and right positions are equal.
The motion characteristic signal comprises the human body joint characteristic; the control characteristic signal comprises wrist characteristics and hand characteristics of the human joint characteristics.
Further, when the wrist features and the hand features are at least two, the central processing module groups and sorts control feature signals formed by the wrist features and the hand features, and the central processing module outputs the control feature signals according to the sorting through the output module.
And the central processing module sorts the control characteristic signals formed by the wrist characteristics and the hand characteristics of each group according to the size of the depth data in the superposed image data and determines the priority, and when the central processing module simultaneously receives the control characteristic signals formed by at least two wrist characteristics and hand characteristics, the central processing module preferentially processes the control characteristic signals formed by the wrist characteristics and the hand characteristics with smaller depth data.
The somatosensory fitness system control method comprises the following steps:
the mobile terminal acquires the login signal output by the output module, identifies and inputs the opening signal to the central processing module;
the somatosensory body building machine receives a starting signal;
the color camera shoots images within a visual angle range to form color image data;
the infrared projector actively projects infrared spectrums within a shooting visual angle range, and when the infrared spectrums meet a human body, the spectrums are distorted to form reflection spots;
reading and analyzing the reflection spots by a depth infrared camera to obtain depth image data within the shooting visual angle range;
the central processing module superposes the obtained color image data and the corresponding depth image data to form superposed image data, and the superposed image data is output through the output module; meanwhile, the central processing module extracts interaction signals according to the number of the superposed images according to the characteristics of the joints of the human body and outputs the interaction signals through an output module;
the central processing module identifies and matches the waiting signal or the selection signal with the interactive signal and then outputs the signals through the output module;
the output module outputs a signal to be evaluated, the mobile terminal identifies the signal to be evaluated and sends terminal identity information and evaluation information of the mobile terminal to the background server, the background server compares the received terminal identity information with prestored identity information stored in the background server, and if the received terminal identity information and the prestored identity information are consistent, the background server stores or processes the received evaluation information.
Body-sensing body-building machine includes:
the color camera is used for shooting images within a visual angle range and collecting color image data;
the infrared projector is used for actively projecting infrared spectrums, and when the infrared projectors irradiate a rough object or penetrate through frosted glass, the spectrums are distorted to form random reflection spots which can be read by the infrared camera;
the depth infrared camera is used for reading and analyzing the reflection spots to obtain depth image data within the shooting visual angle range;
the central processing module is used for superposing the color image data and the corresponding depth image data to obtain superposed image data and outputting the superposed image data through the output module;
and the output module is used for outputting data and displaying images.
Body-sensing fitness system, comprising:
the color camera is used for shooting images within a visual angle range and collecting color image data;
the infrared projector is used for actively projecting infrared spectrums, and when the infrared projectors irradiate a rough object or penetrate through frosted glass, the spectrums are distorted to form random reflection spots which can be read by the infrared camera;
the depth infrared camera is used for reading and analyzing the reflection spots to obtain depth image data within the shooting visual angle range;
the output module is used for outputting data and displaying images;
the background server is used for storing data and processing signals of all the modules;
and the mobile terminal is used for identifying the signal output by the output module and sending the identified signal to the background server.
The following illustrates the advantages or principles of the invention:
1. the body-sensing body-building machine and the control method utilize three devices, namely a color camera, an infrared projector and a depth infrared camera to obtain data of various images, and realize that the most image data are obtained by utilizing the least devices; the formation of the superposed image data provides convenience for the subsequent analysis and extraction of the data, so that the central processing module can obtain accurate information from various images.
2. Compared with the method only extracting from the depth image or the image, the method only extracts the human body joint features from the superposed image data, can more accurately extract all joint points of the human body joint features, and can enable the central processing module to better identify the motion feature signals and the control feature signals.
3. The extraction of the head characteristic, the elbow characteristic, the hand characteristic, the knee characteristic and the foot characteristic ensures the identification precision of the central processing module on the interactive signal to the minimum extent; besides the characteristics, the accuracy of the central processing module in recognizing the motion characteristic signals and the control characteristic signals and the recognition degree of the human motion and the control action are improved by extracting the neck characteristics, the shoulder characteristics, the wrist characteristics, the chest characteristics and the crotch characteristics, so that a user obtains smoother human-computer interaction experience.
4. The control signal characteristics are only extracted from the characteristics of the wrist and the hand in the human joint characteristics, so that the error recognition of the central processing module on the control signal characteristics can be greatly reduced, and the accuracy of the user in controlling the somatosensory fitness machine is improved.
5. The central processing module identifies two or more control characteristic signals simultaneously, so that two or more users can participate in human-computer interaction together, and the two or more users can experience the fun of human-computer interaction simultaneously.
6. The control characteristic signals of two or more than two are sequenced and the priority is determined, so that the normal operation of the body-sensing body-building machine is ensured, the error probability caused by the disorder of data is reduced, the control accuracy of a user is improved, and the user is ensured to have good experience.
7. A body-feeling body-building system and a control method thereof are disclosed, wherein superimposed image data are obtained through a color camera, an infrared projector and a depth infrared camera, an interaction signal obtained by analyzing the superimposed image data is matched with a mobile terminal and a background server, and finally a system for man-machine interaction is realized; by utilizing the mobile terminal and the background server, the use limited to a single user is realized, a plurality of users can participate in human-computer interaction at the same time, indirect users can also utilize the mobile terminal to carry out simple communication with the users through the identification and transmission of signals, and finally the indirect users and the users participate in the interaction together.
Drawings
Fig. 1 is a block diagram of a somatosensory fitness machine and a somatosensory fitness system control method according to an embodiment of the invention.
Description of reference numerals:
10. the system comprises a color camera, 11, an infrared projector, 12-depth infrared cameras, 20, a central processing module, 21 an output module, 30, a mobile terminal, 31 and a background server.
Detailed Description
The following provides a detailed description of embodiments of the invention.
As shown in fig. 1, the somatosensory fitness machine comprises: the system comprises a color camera 10, an infrared projector 11, a depth infrared camera 12, a central processing module 20 and an output module 21.
The somatosensory body building machine control method comprises the following steps:
the central processing module 20 receives a starting instruction;
the color camera 10 captures an image within a viewing angle range to form color image data;
the infrared projector 11 actively projects infrared spectrums within the range of the shooting visual angle, and when the infrared spectrums meet a human body, the spectrums are distorted to form reflection spots;
the depth infrared camera 12 reads and analyzes the reflection spots to obtain depth image data within the shooting visual angle range;
the central processing module 20 superimposes the obtained color image data and the depth image data corresponding to the color image data to form superimposed image data, and inputs the superimposed image data to the central processing module 20;
the central processing module 20 outputs the superimposed image data through the output module 21.
The somatosensory body building machine control method further comprises the following steps:
the central processing module 20 extracts an interactive signal from the superimposed image data according to the human joint characteristics, and outputs the interactive signal to the central processing module 20, wherein the interactive signal includes a motion characteristic signal and a control characteristic signal.
When the central processing module 20 outputs the waiting signal through the output module 21 and the human body joint characteristics corresponding to the motion characteristic signal are matched with the waiting signal, the central processing module 20 obtains the motion characteristic signal and stores or subsequently analyzes the motion characteristic signal; or, when the central processing module 20 outputs the signal to be selected through the output module 21, and the human body joint feature corresponding to the control feature signal is matched with the signal to be selected, the central processing module 20 receives the control feature signal and is used for controlling the central processing module 20.
The human body joint features at least comprise head features, elbow features, hand features, knee features and foot features, and also comprise neck features, shoulder features, wrist features, chest features and crotch features, different features correspond to different parts of a body, and the parts of the body which can correspond to the human body joint features are called joint points, and the number of the joint points is 25. The motion characteristic signal comprises the human body joint characteristics, and the control characteristic signal comprises wrist characteristics and hand characteristics of the human body joint characteristics.
In this embodiment, the central processing module 20 can extract six different sets of human body joint features and number the six different sets of human body joint features according to 0 to 5.
When the wrist feature and the hand feature are at least two, the central processing module 20 groups control feature signals formed by the wrist feature and the hand feature, and the central processing module 20 receives the at least two groups of control feature signals and is respectively used for controlling the central processing module 20. In this embodiment, the number of wrist features and hand features is at least two, and the wrist features and hand features are numbered differently, and the same numbered wrist features and hand features are in the same group.
The central processing module 20 ranks the control feature signals formed by the wrist features and the hand features of each group according to the size of the depth data in the superimposed image data and determines the priority, and when the central processing module 20 receives the control feature signals formed by at least two wrist features and hand features at the same time, the central processing module preferentially processes the control feature signals formed by the wrist features and the hand features with smaller depth data.
The somatosensory fitness system comprises the somatosensory fitness machine, a background server 31 and a mobile terminal 30.
The somatosensory fitness system control method comprises the following steps:
the mobile terminal 30 acquires the login signal output by the output module 21, identifies and inputs the opening signal to the central processing module 20;
the central processing module 20 receives the starting signal;
the color camera 10 captures an image within a viewing angle range to form color image data;
the infrared projector 11 shoots infrared spectrums within a visual angle range and actively projects the infrared spectrums, and when the infrared spectrums meet a human body, the spectrums are distorted to form reflection spots;
the depth infrared camera 12 reads and analyzes the reflection spots to obtain depth image data within the shooting visual angle range;
the central processing module 20 superimposes the obtained color image data and the depth image data corresponding to the color image data to form superimposed image data, and outputs the superimposed image data through the output module 21; meanwhile, the central processing module 20 extracts an interactive signal from the number of the superimposed images according to the characteristics of the human joint, and outputs the interactive signal through an output module 21;
the central processing module 20 identifies and matches the waiting signal or the selection signal with the interactive signal, and then outputs the signals through the output module 21;
the output module 21 outputs a signal to be evaluated, the mobile terminal 30 recognizes the signal to be evaluated and sends the terminal identity information and the evaluation information of the mobile terminal 30 to the background server 31, the background server 31 compares the received terminal identity information with the prestored identity information stored therein, and if the received terminal identity information and the prestored identity information are in accordance with each other, the background server 31 stores or processes the received evaluation information.
The embodiment has the following advantages:
1. the body-sensing body-building machine and the control method utilize three devices, namely a color camera 10, an infrared projector 11 and a depth infrared camera 12 to obtain data of various images, and realize that the most image data can be obtained by utilizing the least devices; the formation of the superimposed image data facilitates the subsequent analysis and extraction of the data, so that the central processing module 20 can obtain accurate information from various images.
2. Compared with the method only extracting from the depth image or the image, the method only extracts the human body joint features from the superposed image data, can more accurately extract all joint points of the human body joint features, and can enable the central processing module 20 to better identify the motion feature signals and the control feature signals.
3. The human joint features extract head features, elbow features, hand features, knee features, foot features, neck features, shoulder features, wrist features, chest features and crotch features, so that the accuracy of the central processing module 20 in recognizing motion feature signals and control feature signals and the recognition degree of human motion and control actions are improved, and a user can obtain smoother human-computer interaction experience.
4. The central processing module 20 can simultaneously recognize two or more control characteristic signals, so that two or more users can participate in human-computer interaction together, and the two or more users can experience the fun of human-computer interaction simultaneously.
5. The control characteristic signals of two or more than two are sequenced and the priority is determined, so that the normal operation of the body-sensing body-building machine is ensured, the error probability caused by the disorder of data is reduced, the control accuracy of a user is improved, and the user is ensured to have good experience.
6. A body-feeling body-building system and a control method thereof are disclosed, wherein superimposed image data are obtained through a color camera 10, an infrared projector 11 and a depth infrared camera 12, interaction signals obtained by analyzing the superimposed image data are matched with a mobile terminal 30 and a background server 31, and finally a system for man-machine interaction is realized; by utilizing the mobile terminal 30 and the background server 31, a user is not limited to single use, a plurality of users can participate in human-computer interaction at the same time, and indirect users can also utilize the mobile terminal 30 to perform simple communication with the users through signal identification and transmission, so that the indirect users and the users participate in the interaction together.
The above are merely specific embodiments of the present invention, and the scope of the present invention is not limited thereby; any alterations and modifications without departing from the spirit of the invention are within the scope of the invention.
Claims (7)
1. The body-sensing body-building machine control method is characterized by comprising the following steps of:
the central processing module receives a starting instruction;
the color camera shoots images within a visual angle range to form color image data;
the infrared projector actively projects infrared spectrums within the range of shooting visual angles, and when the infrared spectrums meet a human body, the spectrums are distorted to form reflection spots;
reading and analyzing the reflection spots by a depth infrared camera to obtain depth image data within the shooting visual angle range;
the central processing module superposes the obtained color image data and the corresponding depth image data to form superposed image data;
the central processing module outputs the superposed image data through the output module;
the central processing module extracts an interaction signal from the superposed image data according to the human body joint characteristics and outputs the interaction signal through the output module;
the interactive signal is any one of a motion characteristic signal or a control characteristic signal, the central processing module outputs a waiting signal through the output module, and when the human body joint characteristic corresponding to the motion characteristic signal is matched with the waiting signal, the central processing module obtains the motion characteristic signal and stores or subsequently analyzes the motion characteristic signal;
the central processing module outputs a signal to be selected through the output module, and receives the control characteristic signal and is used for controlling the central processing module when the human body joint characteristic corresponding to the control characteristic signal is matched with the signal to be selected.
2. The somatosensory exercise machine control method according to claim 1, wherein the human joint features at least comprise: head, elbow, hand, knee, and foot features; the head features respectively correspond to the positions of the middle part of the forehead and the middle part of the chin; the elbow feature corresponds to an elbow position; the hand features respectively correspond to the positions of the thumb end, the front end of the tail finger and the tail end of the tail finger; the knee feature corresponds to a knee position; the foot features correspond to the ankle and the middle of the sole, respectively.
3. The somatosensory exercise machine control method of claim 2, wherein the human joint features further comprise neck features, shoulder features, wrist features, chest features, and crotch features; the neck features correspond to the middle of the neck; the shoulder features respectively correspond to the positions of the joints of the left shoulder, the right shoulder and the arm; the wrist feature corresponds to a wrist position; the chest features correspond to the middle position of the chest cavity; the crotch features correspond to the left, middle and right positions of the crotch respectively, and the distances between the middle position and the left and right positions are equal.
4. The somatosensory exercise machine control method of claim 3, wherein the motion characteristic signal comprises the human body joint characteristic; the control feature signal includes the wrist feature and the hand feature.
5. The somatosensory exercise machine control method according to claim 4, wherein when there are at least two wrist features and hand features, the central processing module groups control feature signals formed by the wrist features and the hand features, and the central processing module receives the at least two groups of control feature signals and is respectively used for controlling the central processing module.
6. The somatosensory exercise machine control method according to claim 5, wherein the central processing module ranks and prioritizes the control feature signals formed by the wrist features and the hand features of each group according to the size of the depth data in the superimposed image data, and when the central processing module receives the control feature signals formed by at least two of the wrist features and the hand features simultaneously, prioritizes the control feature signals formed by the wrist features and the hand features with smaller depth data.
7. The somatosensory fitness system control method is characterized by comprising the following steps of:
the mobile terminal acquires the login signal output by the output module, identifies and inputs the opening signal to the central processing module;
the somatosensory body building machine receives a starting signal;
the color camera shoots images within a visual angle range to form color image data;
the infrared projector actively projects infrared spectrums within a shooting visual angle range, and when the infrared spectrums meet a human body, the spectrums are distorted to form reflection spots;
reading and analyzing the reflection spots by a depth infrared camera to obtain depth image data within the shooting visual angle range;
the central processing module superposes the obtained color image data and the corresponding depth image data to form superposed image data; meanwhile, the central processing module extracts interaction signals according to the number of the superposed images based on the characteristics of the joints of the human body, and outputs the interaction signals through an output module;
the central processing module outputs any one of a waiting signal or a selection signal through the output module, and the any one of the waiting signal or the selection signal is matched with the interactive signal in an identification way;
the output module outputs a signal to be evaluated, the mobile terminal identifies the signal to be evaluated and sends terminal identity information and evaluation information of the mobile terminal to the background server, the background server compares the received terminal identity information with prestored identity information stored in the background server, and if the received terminal identity information and the prestored identity information are consistent, the background server stores or processes the received evaluation information.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102179814A (en) * | 2011-03-23 | 2011-09-14 | 浙江大学 | Method for controlling robot by using user hand commands |
| CN102614663A (en) * | 2011-01-30 | 2012-08-01 | 德信互动科技（北京）有限公司 | Device for achieving multiplayer game |
| CN104190063A (en) * | 2014-08-08 | 2014-12-10 | 杭州电子科技大学 | Posture recognition and remote training method and system based on smart phone |
| CN106890441A (en) * | 2017-04-10 | 2017-06-27 | 江苏农林职业技术学院 | Shuttlecock interaction training aids and shuttlecock interaction training method |
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| US20150379333A1 (en) * | 2014-06-27 | 2015-12-31 | Eric L. Ingram | Three-Dimensional Motion Analysis System |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102614663A (en) * | 2011-01-30 | 2012-08-01 | 德信互动科技（北京）有限公司 | Device for achieving multiplayer game |
| CN102179814A (en) * | 2011-03-23 | 2011-09-14 | 浙江大学 | Method for controlling robot by using user hand commands |
| CN104190063A (en) * | 2014-08-08 | 2014-12-10 | 杭州电子科技大学 | Posture recognition and remote training method and system based on smart phone |
| CN106890441A (en) * | 2017-04-10 | 2017-06-27 | 江苏农林职业技术学院 | Shuttlecock interaction training aids and shuttlecock interaction training method |
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