Badminton basic movement auxiliary training system based on Kinect
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A basic movement and training system technology, applied in the field of human-computer interaction, can solve problems such as low accuracy rate and small application range, and achieve the effects of reducing burden, enhancing generalization ability, and improving rationality
Active Publication Date: 2020-07-24
HARBIN INST OF TECH
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[0003] The purpose of the present invention is to solve the problems that the badminton action guidance system adopting DTW algorithm has a small scope of application and low accuracy, and provides a basic badminton action auxiliary training system based on Kinect
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specific Embodiment approach 1
[0040] Specific implementation mode one: the following combination Figure 1 to Figure 3 Describe this embodiment, a kind of basic badminton motion auxiliary training system based on Kinect described in this embodiment includes data acquisition module, motion feature extraction and recognition module and motion standard degree analysis and guidance module;
[0041] This embodiment provides a Kinect-based basic badminton action auxiliary training system, which can meet the training needs of different ages, genders, postures, and exercise habits. Through non-contact sensors such as Kinect, under the situation of simulating the actual exercise environment, automatically Assist in the standardization and finalization of basic badminton movements, laying the foundation for high-quality completion of various subsequent complex movements.
[0042] Data collection module: use Kinect v2 somatosensory equipment to monitor athletes in real time, and collect three-dimensional coordinate d...
specific Embodiment approach 2
[0078] Embodiment 2. The difference between this embodiment and Embodiment 1 is that the auxiliary training system also includes a user presentation interface module, which is used to implement standard action examples in the client by using text, image, video embedding and voice conversion technologies. Picture display, action technical standard query, current action image or video review, action data query, and voice broadcast of analysis results.
[0079] The use of Python+Qt5 framework will realize system function integration and UI interface design, use button triggers to independently collect and process data, and support continuous analysis at fixed intervals, and use text, image, video embedding and voice conversion technologies, Realize the functions of standard action sample image display in the client, action technical standard query, current action image (video review), action data query, and voice broadcast of analysis results.
[0080] After the action to be test...
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Abstract
The invention discloses a badminton basic movement auxiliary training system based on Kinect, belongs to the field of human-computer interaction, and aims to solve the problems of small application range and low accuracy of a badminton movement guidance system adopting a DTW algorithm. The system comprises a data acquisition module, a movement feature extraction and identification module and a movement standard degree analysis and guidance module. The data acquisition module is used for monitoring an athlete in real time by utilizing Kinect v2 somatosensory equipment and acquiring three-dimensional coordinate data of 25 articulation points of the whole body of the athlete; the movement feature extraction and recognition module is used for establishing a standard template and obtaining thesimilarity between a to-be-tested user and the standard template movement; and the movement standard degree analysis and guidance module is used for judging the category to which the current movementof the to-be-tested user belongs according to the similarity, and analyzing whether the current movement of the to-be-tested user meets the standard or not according to the skeleton included angle threshold range set by the category movement technology evaluation rule.
Description
technical field [0001] The invention relates to intelligent guidance technology for badminton training and belongs to the field of human-computer interaction. Background technique [0002] Badminton is the sport with the largest number of participants in China. The number of participants has reached 250 million. The level of competition is inseparable from the firmness of basic skills. The high cost of coaches prevents many participants from laying a good foundation and developing a set of basic badminton movements. Auxiliary training system can effectively solve the above problems. At the same time, with the continuous innovation of the depth camera, the motion recognition technology based on machine vision has made long-term progress, and is gradually assisting the completion of various tasks in our lives, which makes it possible to develop a basic badminton motion assistance system. Related research patents have been published. China CN105512621B discloses a Kinect-base...
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