AI visual perception technology-based motion teaching system
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A teaching system and visual perception technology, applied in the field of visual perception, can solve problems such as inability to guide, inability to know in time, and timely correction
Pending Publication Date: 2021-12-03
NINGBO UNIV
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[0005] The purpose of the present invention is to provide a sports teaching system based on AI visual perception technology, to solve the problem that the existing sports teaching system proposed in the above background technology cannot be used in detail
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Embodiment 1
[0029] see figure 1 , a sports teaching system based on AI visual perception technology, including a pre-exercise human motion data collection system, a human body motion data comparison system during exercise, and a post-exercise human motion data teaching system;
[0030] The pre-exercise human motion data acquisition system is responsible for the acquisition of motion data for exercise teaching. First, professionals conduct accurate exercise teaching demonstrations. When demonstrating each movement, whether it is the movement of legs, hands or other parts of the body, it needs to be standardized. , and use the pre-exercise human motion data acquisition system to collect and record data as standard exercise data;
[0031] The human body movement data comparison system during exercise is responsible for comparing the standard movement data with the movement data of beginners during exercise, finding irregular movements and making records during teaching;
[0032] The post-ex...
Embodiment 2
[0037] see figure 2 , a sports teaching system based on AI visual perception technology, including a pre-exercise human motion data acquisition system, a human body motion data comparison system during exercise, a post-exercise human motion data teaching system, and a scoring and evaluation system;
[0038] Among them, the human body motion data collection system before exercise, the human body motion data comparison system during exercise, and the human body motion data teaching system after exercise have the same specific functions as those in Embodiment 1, and will not be repeated here.
[0039] The scoring and evaluation system judges whether the sports movements after learning are fully mastered through the scoring mode for beginners. For example, the sports teaching system has a full score of 10. If the beginner can reach 8 points after completing the exercise, it means that the sports data is qualified, and the score is less than 8 points. , indicating that the motion ...
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Abstract
The invention discloses an AI visual perception technology-based motion teaching system, which comprises a pre-motion human body motion data acquisition system, an in-motion human body motion data comparison system and a post-motion human body motion data teaching system, wherein the pre-motion human body motion data acquisition system is used for acquiring motion data in motion teaching, the in-motion human body motion data comparison system is used for comparing standard motion data with the motion data of a beginner during motion during teaching, searching for non-standard motions and recording the non-standard motions, and the post-motion human body motion data teaching system is used for teaching the beginner again through the recorded non-standard motion data after the beginner motions, so that the beginner is corrected, and the motion action is standardized and standard so as to achieve improvement. According to the invention, the beginner is explained and guided in detail before motion, during motion and after motion, so that the beginner can understand each action in detail, and the motion requirement can be met in the shortest time.
Description
technical field [0001] The invention relates to the field of visual perception technology, in particular to a sports teaching system based on AI visual perception technology. Background technique [0002] Since its inception, the discipline of artificial intelligence has established its grand goal of simulating, extending, and expanding human intelligence. With the development of artificial intelligence technology, artificial intelligence has made great progress in perception, natural language processing, knowledge representation, automatic reasoning and planning, and machine learning. Perception capabilities include visual perception (the ability to understand and reconstruct a scene in images and videos) and auditory perception (that is, voice recognition, which refers to finding the voice of a specific person from among the voices of multiple people). Natural language processing refers to semantic recognition speechrecognition, that is, the meaning of human words can be ...
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