Li Shunchong, Chen Xingyu, Zhang Dingguo, Sheng Xinjun, Zhu Xiangyang
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:3070-3. doi: 10.1109/EMBC.2013.6610189.
Surface electromyography (sEMG) has been introduced into the bio-mechatronics systems, however, most of them are lack of the sensory feedback. In this paper, the effect of vibrotactile feedback for a myoelectric cursor control system is investigated quantitatively. Simultaneous and proportional control signals are extracted from EMG using a muscle synergy model. Different types of feedback including vibrotactile feedback and visual feedback are added, assessed and compared with each other. The results show that vibrotactile feedback is capable of improving the performance of EMG-based human machine interface.
表面肌电图（sEMG）已被引入生物机电系统，然而，其中大多数缺乏感觉反馈。本文定量研究了振动触觉反馈对肌电光标控制系统的影响。使用肌肉协同模型从肌电图中提取同步和比例控制信号。添加、评估并相互比较了不同类型的反馈，包括振动触觉反馈和视觉反馈。结果表明，振动触觉反馈能够提高基于肌电图的人机界面的性能。
