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A Generic Framework for Sport-specific Movement Recognition

机译:一种特定于运动的运动识别的通用框架

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In this paper, we propose a generic framework for sport-specific movement recognition. The framework is based on the technology of the wireless wearable sensing device (WSD) which was adopted to distinguish the movements of table tennis athletes. The system has the advantages of low price, convenient use and high calculation efficiency compared to traditional video approaches. In order to validate our system, ten table tennis players put the WSD on their left/right wrists and carried out different table tennis movements in a real table tennis court. We use five different classification methods to identify different motions of table tennis from the recorded data. The experiments show that our generic framework can distinguish the movements of table tennis i.e., sidespin serves, backhand chops, backhand pulls, backhand pushes, flat serves, underspin serves, with an average accuracy of 94%. The main purpose of developing this generic framework is to change the manner from athlete-level evaluation based on subjective experience to athlete-level evaluation based on objective data.
机译:在本文中,我们向体育特定运动识别提出了一种通用框架。该框架基于无线可穿戴传感装置(WSD)的技术,该技术被采用,以区分乒乓球运动员的运动。该系统具有低价格低,使用方便,高计算效率与传统的视频方法相比。为了验证我们的系统,十桌网球运动员将WSD放在左侧/右手关上,并在真正的乒乓球场进行了不同的乒乓球运动。我们使用五种不同的分类方法来从记录的数据中识别乒乓球的不同运动。实验表明,我们的通用框架可以区分乒乓球的动作,即,SideSpin服务,反手卷,反手推,反手推动,扁平的,平均值,平均精度为94%。开发这种通用框架的主要目的是根据基于客观数据的运动员级评估的主观体验,改变运动员级评估的方式。

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