CN112734799A - Body-building posture guidance system - Google Patents
Body-building posture guidance system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention belongs to the field of body-building exercise guidance application, which comprises the following steps: the system comprises a motion detection module, an intelligent analysis module and a video module; through the motion gesture of gathering fitness personnel main part, obtain video information such as gender height, the fitness equipment that uses and with the body-building motion type that discerns, the name sends intelligent analysis module, through the audio-visual data contrast with in the audio-visual database, draws instruction audio frequency and action video with the action of irregularity to automatic generation suggestion pronunciation supplies the fitness personnel to listen to and watch, and the pronunciation suggestion fitness personnel are not normal action and unfavorable part simultaneously.
Description
Technical Field
The invention belongs to the field of body-building exercise guidance application, and particularly relates to a three-dimensional imaging and exercise posture detection technology.
Background
With the development of the times, people pay more and more attention to the improvement of physical quality, pay more attention to physical health, and exercise for spare time also becomes a popular trend. However, the exercise activity requires professional technical guidance, otherwise the exercise is easy to cause injury, and the exercise can cause physical injury and even endanger life safety due to improper use of the equipment. The existing fitness guidance system cannot make a judgment aiming at the body condition and the fitness type of each fitness person, and accurately matches the actual fitness action with the standard action, so that the fitness person cannot know whether the action is standard or not, whether the fitness effect is achieved or not, whether fitness equipment is correctly used or not, or whether transition fitness is performed or not to hurt the body is judged.
Disclosure of Invention
The invention designs a body-building motion posture guidance system, which adopts a TOF depth sensor and a visible light camera to be combined to detect a moving human body, intelligently judges the human body motion normalization according to the motion positions of limb and joint operation instruments, and can solve the problem of motion loss of a body-building worker caused by nonstandard motion through interactively reminding and guiding the motion posture state of the body-building worker by voice, characters and images. In order to achieve the purpose, the invention adopts the following specific technical scheme:
a fitness motion gesture guidance system comprising: the motion detection module and the intelligent analysis module;
the motion detection module is used for acquiring images of the body-building personnel, identifying the ongoing sports and the used fitness equipment, controlling the tracking rotary table to rotate along with the motion position of the body-building personnel and extracting the motion posture of the main part of the body-building personnel;
the intelligent analysis module is used for receiving the current motion data of the fitness personnel, comparing the current motion data with the standard motion data stored in the intelligent analysis module, extracting the nonstandard motion of the fitness personnel, and sending a guide video and a corresponding standard motion voice explanation;
the motion detection module includes: the system comprises a visible light camera for obtaining a movement scene image of the fitness personnel, a TOF depth sensor for obtaining the body movement space position information of the fitness personnel, and a tracking rotary table for fixing and controlling the visible light camera and the TOF depth sensor, wherein the tracking rotary table enables the movement area of the fitness personnel to be always positioned in the effective visual field area of the visible light camera and the TOF depth sensor.
Preferably, the exercise device further comprises an audio-visual module, wherein the audio-visual module is used for receiving the guide video, outputting and playing the guide video for the fitness staff to listen and watch, prompting the fitness staff to lack the standard action part through voice and displaying the correct exercise method.
Preferably, the motion detection module further comprises: the image processing unit is used for acquiring fitness information of the fitness personnel and motion posture information of the main part, which are acquired by the visible light camera and the TOF depth sensor; controlling the tracking rotary table to always point to the body-building personnel; analyzing all collected data of the fitness personnel, sending the data to an intelligent analysis module, and receiving a returned analysis processing result; and transmitting the analysis processing result to the video and audio module.
Preferably, the intelligent analysis module further comprises: the system comprises an intelligent analysis unit and a video and audio database; the intelligent analysis unit is used for comparing the current fitness data of the fitness personnel with the standard actions in the video database and transmitting the correct action voice and the motion video back to the motion detection module; the video-audio database is used for storing the explanation voice record and the operation video of the standard actions of various sports apparatuses.
Preferably, each pixel of the TOF depth sensor is calculated by using the transformation matrix, corresponding to the pixel position on the visible light camera, so as to accurately detect the body position and the motion gesture of the fitness person.
Preferably, the image processing unit adopts a YOLO deep learning artificial intelligence technology to identify the fitness information of the fitness personnel; and extracting the motion postures of the main parts of the fitness personnel in the key video frame according to the motion information of the fitness personnel obtained by the deep learning network VGG-19.
Preferably, the motion gestures of the main part include: the information of key parts and joints of the body-building personnel is embodied in the form of data of spatial positions and angles.
Preferably, the fitness information comprises at least gender, height, fitness equipment used; the exercise information at least comprises exercise types and exercise item names.
The invention can obtain the following technical effects:
1. the visible light camera can detect and identify the human body in the visual field and the sports equipment used by the fitness personnel, the embedded processor controls the rotary table to move along with the human body according to the detected and identified human body position, and a plurality of sensors are not required to be arranged to acquire the spatial position information of the fitness personnel.
2. And the TOF depth sensor is used for positioning the space position of the identified limbs and joints of the human body and the operated sports equipment, calculating the limb movement amplitude, comparing the limb movement amplitude with standard posture data of the fitness movement of the detection center, and prompting the movement posture which does not meet the standard through voice and displaying the standard movement through images.
Drawings
FIG. 1 is a schematic structural diagram of a fitness exercise posture guidance system according to an embodiment of the present invention;
FIG. 2 is a work flow diagram of one embodiment of the present invention;
FIG. 3 is a schematic diagram of visible light camera and TOF depth sensor parameter calibration according to an embodiment of the present disclosure;
FIG. 4 is a flowchart of the operation of the motion detection module of one embodiment of the present invention;
FIG. 5 is a flow diagram of the operation of the intelligent analysis module of one embodiment of the present invention.
Reference numerals:
a motion detection module 1, a visible light camera 11, a TOF depth sensor 12, a tracking turntable 13, an image processing unit 14,
An intelligent analysis module 2, an intelligent analysis unit 21, a video and audio database 22,
And the video and audio module 3.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention.
The invention aims to provide a body-building exercise posture guidance system, which comprises: the system comprises a motion detection module 1, an intelligent analysis module 2 and an audio-visual module 3; the video information of sex, height, used fitness equipment and the like is acquired by collecting the motion postures of the main parts of the fitness personnel, the recognized fitness motion types and names are sent to the intelligent analysis module 2, the abnormal motion is extracted to guide audio and motion videos by comparing with the audio and video data in the audio and video database 22, prompt voice is automatically generated to be listened and watched by the fitness personnel, and meanwhile, the abnormal motion and the adverse part of the fitness personnel are prompted by the voice.
The following describes a body-building exercise posture guidance system provided by the present invention in detail through a specific embodiment by referring to the system work flow chart of fig. 2, the system structure chart of fig. 1 and the work flow of the motion detection module 1 shown in fig. 4.
The system comprises a motion detection module 1, an intelligent analysis module 2 and an audio-visual module 3; in the motion detection module 1, a visible light camera 11, a TOF depth sensor 12 and an image processing unit 14 are fixed on a tracking rotary table 13, and the image processing unit 14 controls the tracking rotary table 13 to rotate along with the motion position of the fitness staff to ensure that the fitness staff is always positioned at the center position of the visual field of the visible light camera 11;
meanwhile, the image processing unit 14 analyzes the fitness information of the fitness personnel and the motion posture information of the main part acquired by the visible light camera 11 and the TOF depth sensor 12 by an artificial intelligence technology, extracts key information and sends the key information to the intelligent analysis module 2, wherein the information comprises sex, height, used fitness equipment, type of fitness motion in progress and name of fitness project;
the intelligent analysis unit 21 in the intelligent analysis module 2 retrieves information including guidance audio, standard action video and the like in the video and audio database 22 according to the received information, compares the information with the standard action in the video and audio database 22, extracts the guidance audio and the action video for the irregular action, automatically generates a prompt voice to indicate that the action operation is wrong, and feeds back the analysis processing results to the image processing unit 14;
the image processing unit 14 sends the feedback result to the audio-visual module 3, the audio-visual module 3 receives the audio and video for the body-building personnel to listen and watch through an audio-visual receiving display with audio-visual function such as a television or a mobile phone, and the like, and prompts the body-building personnel to not standardize the action and the disadvantages by voice, so that the purpose of real-time guidance for the body-building personnel is realized, meanwhile, the space is saved by the integrated design of the motion detection module 1, and the limitation to the motion space of the body-building personnel is reduced.
In a preferred embodiment of the present invention, as shown in FIG. 3, the visible light camera 11 and TOF depth sensor 12 mounted on tracking turntable 13 are calibrated using a checkerboard or other means. The method aims to obtain internal and external parameters of the body building personnel and the sports equipment, and is used for positioning the space positions of the body building personnel and the sports equipment.
In another embodiment of the present invention, calibration is performed by using a checkerboard, a plurality of checkerboard pictures at different viewing angles are taken by using the visible light camera 11, and the internal reference of the visible light camera 11 and the external reference corresponding to each image are calculated. The internal reference of the TOF depth sensor 12 is calculated in the same way. And (3) performing external reference calibration on the two sensors, and obtaining external reference matrixes of the checkerboard relative to the TOF depth sensor 12 and the visible light camera 11 in the same scene, namely calculating a transformation matrix connecting the coordinate system of the visible light camera 11 and the TOF depth sensor 12. And calculating the pixel position of each pixel of the TOF depth sensor 12 corresponding to the visible light camera 11 according to the transformation matrix to obtain a depth map containing the body position, the motion posture and other information of the fitness personnel after registration.
In a preferred embodiment of the invention, the exercise information of the fitness personnel is identified by using a YOLO deep learning artificial intelligence technology, wherein the exercise information comprises sex, height and used exercise equipment; according to the body-building exercise type, name and other information of the body-building personnel obtained by the deep learning network VGG-19, the exercise postures of the main parts of the body-building personnel in the key video frames are extracted, and the information of the key parts and joints of the body-building personnel is specifically embodied in the form of data of spatial positions and angles.
In another embodiment of the invention, the analysis processing module can be realized by a GPU, a CPU or a DSP and other processors; the device can comprise different audio-video data output interfaces such as HDMI, network, WIFI, Bluetooth and the like.
In a preferred embodiment of the present invention, the intelligent analysis module 2 is used for comparing the collected data of the fitness personnel with the data stored in the audio/video database 22 and outputting the comparison result in the form of audio/video.
The specific work flow of the intelligent analysis module 2 shown in fig. 5 is that the motion type data analyzed by the motion detection module 1 is received, the guidance audio and video of the standard motion are retrieved from the audio-visual database 22 and compared with the motion data of the key moment and key parts of the motion of the body-building personnel, the artificial intelligence is adopted to form guidance voice for the incorrect body-building action, the guidance audio and video of the body-building action are intercepted and produced, and then the audio-video data are sent to the motion detection module 1, so that the comparison work is completed.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
The above embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.
Claims (8)
1. A fitness motion gesture guidance system, comprising: the motion detection module (1) and the intelligent analysis module (2);
the motion detection module (1) is used for acquiring images of fitness personnel, identifying ongoing sports and used fitness equipment, controlling the tracking rotary table (13) to rotate along with the motion position of the fitness personnel and extracting the motion posture of the main part of the fitness personnel;
the intelligent analysis module (2) is used for receiving the current motion data of the fitness personnel, comparing the current motion data with standard action data stored in the intelligent analysis module (2), extracting the nonstandard action of the fitness personnel, and sending a guide video and a corresponding standard action voice explanation;
the motion detection module (1) comprises: the system comprises a visible light camera (11) used for obtaining a motion scene image of the fitness personnel, a TOF depth sensor (12) used for obtaining limb motion space position information of the fitness personnel, and a tracking rotary table (13) used for fixing and controlling the visible light camera (11) and the TOF depth sensor (12), wherein the tracking rotary table (13) enables the activity area of the fitness personnel to be always located in the effective field of view of the visible light camera (11) and the TOF depth sensor (12).
2. The system for guiding the posture of fitness exercise according to claim 1, further comprising an audio-visual module (3), wherein the audio-visual module (3) is used for receiving the guiding video, outputting and playing the guiding video for the fitness personnel to listen and watch, prompting the fitness personnel of irregular action positions through voice, and displaying a correct exercise method.
3. A fitness motion gesture guidance system according to claim 1, wherein the motion detection module (1) further comprises: the image processing unit (14) is used for acquiring fitness information of the fitness personnel and motion posture information of a main part, which are acquired by the visible light camera (11) and the TOF depth sensor (12); controlling the tracking rotary table (13) to be always pointed to the body-building personnel; analyzing all collected data of the fitness personnel, sending the data to the intelligent analysis module (2), and receiving a returned analysis processing result; and transmitting the analysis processing result to the video and audio module (3).
4. A fitness motion gesture guidance system according to claim 1, wherein the intelligent analysis module (2) further comprises: an intelligent analysis unit (21) and a video and audio database (22); the intelligent analysis unit (21) is used for comparing the current fitness data of the fitness personnel with the standard actions in the video database (22) and transmitting correct action voice and motion videos back to the motion detection module (1); the video and audio database (22) is used for storing the explanation voice record of the standard actions of various sports equipment and the operation video.
5. A fitness motion gesture guidance system according to claim 1, wherein each pixel of the TOF depth sensor (12) is calculated by a transformation matrix corresponding to a pixel position on the visible light camera (11) for accurate detection of the fitness person's body position and motion gesture.
6. A fitness motion gesture guidance system according to claim 3, wherein the image processing unit (14) identifies fitness information of a fitness person using YOLO deep learning artificial intelligence techniques; and extracting the motion postures of the main parts of the fitness personnel in the key video frame according to the motion information of the fitness personnel obtained by the deep learning network VGG-19.
7. A fitness motion gesture guidance system according to claim 6, wherein the motion gestures of the primary portion comprise: the information of key parts and joints of the body-building personnel is embodied in the form of data of spatial positions and angles.
8. A fitness motion gesture guidance system according to claim 6, wherein the fitness information includes at least gender, height, fitness equipment used; the exercise information at least comprises exercise types and exercise item names.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113449590A (en) * | 2021-05-14 | 2021-09-28 | 网易（杭州）网络有限公司 | Speaking video generation method and device |
| CN113813585A (en) * | 2021-08-09 | 2021-12-21 | 惠州Tcl云创科技有限公司 | 5G network fitness action guidance system |
| CN113892928A (en) * | 2021-10-14 | 2022-01-07 | 首都体育学院 | Body-building behavior monitoring system based on Beidou positioning and narrowband Internet of things |
| CN114089647A (en) * | 2021-11-22 | 2022-02-25 | 上海健指树智能系统有限公司 | Intelligent rhythm system and control method thereof |
| CN114334084A (en) * | 2022-03-01 | 2022-04-12 | 深圳市海清视讯科技有限公司 | Body-building data processing method, device, equipment and storage medium |
| CN115798676A (en) * | 2022-11-04 | 2023-03-14 | 中永(广东)网络科技有限公司 | Interactive experience analysis management method and system based on VR technology |
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| CN115798676A (en) * | 2022-11-04 | 2023-03-14 | 中永(广东)网络科技有限公司 | Interactive experience analysis management method and system based on VR technology |
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