Intelligent correction system for table tennis practice and working method thereof
A table tennis and intelligent technology, which is applied in the field of sports training equipment, can solve the problems of repetitive practice and overcorrection of a single hitting action, and achieve the effect of improving the practice effect
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Embodiment 1
[0019] like figure 1 As shown, the present embodiment 1 provides an intelligent correction system for table tennis practice, including: a control module, a detection mechanism connected to the control module; wherein the detection mechanism is suitable for detecting the action parameters of the hitting process; and the The control module is suitable for comparing the movement parameters of the practitioner with the standard movement parameters, so as to correct the movement of the practitioner.
[0020] Optionally, the control module may be, but not limited to, an industrial control board using an stm32 processor as a core.
[0021] Optionally, the standard action parameters may be the coach’s batting action parameters, which may be the average value of multiple action parameters, or the computer combined with the coach’s batting action parameters, and calculate the landing point, The optimal action parameters are fitted by factors such as the best hitting point, speed, stren...
Embodiment 2
[0039] On the basis of Embodiment 1, this Embodiment 2 provides a working method of an intelligent correction system for table tennis practice, which compares the practitioner's hitting action parameters with the standard action parameters to correct the practitioner's hitting action.
[0040] For the specific structure and implementation process of the intelligent correction system for table tennis practice, please refer to the relevant discussion in Embodiment 1, and details will not be repeated here.
[0041]To sum up, the intelligent correction system for table tennis practice and its working method respectively detect the myoelectric signal of the relevant parts of the arm and the movement of the foot during the hitting process through the detection modules such as the gesture detection module, the body position detection module and the picture acquisition module. Position signal, batting action screen and other action parameters, so as to indirectly monitor the exerciser...
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