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Forearm Motion Recognition With Noncontact Capacitive Sensing

文献类型：期刊论文

作者Zheng, Enhao1; Mai, Jingeng2,3; Liu, Yuxiang2; Wang, Qining2,3
刊名FRONTIERS IN NEUROROBOTICS
出版日期2018-07-27
卷号12期号:12页码:1-13
关键词Noncontact Capacitive Sensing Upper-limb Motion Recognition Human-machine Interface Automatic Data Labeling Robot Learning From Humans
DOI10.3389/fnbot.2018.00047
文献子类Article
英文摘要This study presents a noncontact capacitive sensing method for forearm motion recognition. A method is proposed to record upper limb motion information from muscle contractions without contact with human skin, compensating for the limitations of existing sEMG-based methods. The sensing front-ends are designed based on human forearm shapes, and the forearm limb shape changes caused by muscle contractions will be represented by capacitance signals. After implementation of the capacitive sensing system, experiments on healthy subjects are conducted to evaluate the effectiveness. Nine motion patterns combined with 16 motion transitions are investigated on seven participants. We also designed an automatic data labeling method based on inertial signals from the measured hand, which greatly accelerated the training procedure. With the capacitive sensing system and the designed recognition algorithm, the method produced an average recognition of over 92%. Correct decisions could be made with approximately a 347-ms delay from the relaxed state to the time point of motion initiation. The confounding factors that affect the performances are also analyzed, including the sliding window length, the motion types and the external disturbances. We found the average accuracy increased to 98.7% when five motion patterns were recognized. The results of the study proved the feasibility and revealed the problems of the noncontact capacitive sensing approach on upper-limb motion sensing and recognition. Future efforts in this direction could be worthwhile for achieving more promising outcomes.
WOS关键词PATTERN-RECOGNITION ; ARM ; ELECTROMYOGRAPHY ; CONTRACTION ; AMPUTEES ; ROBUST
WOS研究方向Computer Science ; Robotics ; Neurosciences & Neurology
语种英语
WOS记录号WOS:000440030700001
资助机构National Natural Science Foundation of China(61703400 ; Beijing Natural Science Foundation(L172052) ; 91648207)
源URL[http://ir.ia.ac.cn/handle/173211/21727]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Peking Univ, Coll Engn, Robot Res Grp, Beijing, Peoples R China
3.Peking Univ, BIC ESAT, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zheng, Enhao,Mai, Jingeng,Liu, Yuxiang,et al. Forearm Motion Recognition With Noncontact Capacitive Sensing[J]. FRONTIERS IN NEUROROBOTICS,2018,12(12):1-13.
APA Zheng, Enhao,Mai, Jingeng,Liu, Yuxiang,&Wang, Qining.(2018).Forearm Motion Recognition With Noncontact Capacitive Sensing.FRONTIERS IN NEUROROBOTICS,12(12),1-13.
MLA Zheng, Enhao,et al."Forearm Motion Recognition With Noncontact Capacitive Sensing".FRONTIERS IN NEUROROBOTICS 12.12(2018):1-13.

入库方式： OAI收割

来源：自动化研究所

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