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The quantitative evaluation of electrotactile stimulation mode
He K(贺凯); Yu P(于鹏); Li M(李密); Yang Y(杨洋); Liu LQ(刘连庆)
作者部门机器人学研究室
会议名称2016 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2016)
会议日期June 6-10, 2016
会议地点Angkor Wat, Cambodia
会议录名称2016 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2016)
出版者IEEE
出版地New York
2016
页码346-351
收录类别EI ; CPCI(ISTP)
EI收录号20170403280310
WOS记录号WOS:000391370200062
产权排序1
ISBN号978-1-4673-8959-4
摘要As one of the key techniques for displaying tactile feeling in virtual reality, electrotactile stimulation has been well studied in the past decades. However, the lack of quantization metrics (the effective evaluating method of tactile feeling display at different stimulation modes) has hindered its wide applications. In this paper, based on the classical equivalent circuit model of cutaneous nerve, the responses of three mechanoreceptors (Meissner's corpuscle (RA), Merkel's disc (SAI) and Pancinian corpuscle (PC)) were investigated at different electrical stimulation modes. The influences from electrode distance, electrode quantity, and the optimal stimulating mode of different mechanoreceptors were analyzed in detail. The experimental results were presented, in which the stimulation effects of different mechanoreceptors were evaluated through psychophysical experiments of tactile feeling recognition in a trial-and-error way. The optimal stimulation modes of two mechanoreceptors (RA, SAI) with independent stimulations were obtained, which lays both theoretical and experimental foundation for further improving the effectiveness of the tactile feeling display via functional electrical stimulation.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19554
专题机器人学研究室
通讯作者He K(贺凯)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences (CAS), Shenyang, 110016, China
2.University of the Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式
GB/T 7714
He K,Yu P,Li M,et al. The quantitative evaluation of electrotactile stimulation mode[C]. New York:IEEE,2016:346-351.
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