Abstract In a badminton game, dexterous fine hand movements are essential for the player to perform with extraordinary skill. Thus, this paper proposes a smart glove with proper sensing functions for finger pressures and bending angles for this sport to measure the kinematics and kinetics during the forehand grip and backhand grip. Twenty-one pressure sensors and eleven flex sensors are employed to construct the smart glove, and the measured parameters are then visualized to analyze different grip movements. An athlete and an amateur were selected for the gripping experiments and the measurements was recorded by the smart glove. During forehand gripping, although the total power generated by the amateur (33 N) was higher than for the athlete (29 N), the final shot strength was still unsatisfactory due to the disorderly arranged finger flex angle. In backhand gripping, the incorrectly laid index finger reduced the thumb power of the amateur to 3 N, which weakened the control ability and led to a distorted flying trajectory of the shuttlecock. The differences in kinematics and kinetics between the athlete and the amateur can provide a reference for the badminton learners to perform the correct technical movements. By use of this approach, the proposed system may grant trainers and trainees a better approach to analyze the grip movement.

中文翻译：

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通过智能手套表征羽毛球中的精细手部运动

摘要 在羽毛球比赛中，灵巧精细的手部动作对于球员发挥出众的球技至关重要。因此，本文提出了一种具有适当的手指压力和弯曲角度传感功能的智能手套，用于测量正手握拍和反手握拍过程中的运动学和动力学。21 个压力传感器和 11 个弯曲传感器被用来构建智能手套，然后将测量的参数可视化以分析不同的抓握动作。选择一名运动员和一名业余爱好者进行抓握实验，并通过智能手套记录测量结果。正手握拍时，虽然业余选手的总发力（33 N）高于运动员（29 N），但由于手指弯曲角度排列混乱，最终击球力度仍不尽人意。在反手握拍中，错误放置的食指使业余爱好者的拇指力量降低到3N，从而削弱了控制能力，导致羽毛球的飞行轨迹扭曲。运动员和业余爱好者在运动学和动力学方面的差异可以为羽毛球学习者执行正确的技术动作提供参考。通过使用这种方法，所提出的系统可以为训练者和受训者提供一种更好的方法来分析握力运动。运动员和业余爱好者在运动学和动力学上的差异可以为羽毛球学习者执行正确的技术动作提供参考。通过使用这种方法，所提出的系统可以为训练者和受训者提供一种更好的方法来分析握力运动。运动员和业余爱好者在运动学和动力学方面的差异可以为羽毛球学习者执行正确的技术动作提供参考。通过使用这种方法，所提出的系统可以为训练者和受训者提供一种更好的方法来分析握力运动。