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Online interaction method of mobile robot based on single-channel EEG signal and end-to-end CNN with residual block model
Affiliation:1. College of Civil Engineering, Central South University, Changsha 410075, China;2. State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China;3. China Railway Construction Heavy Industry Co. Ltd, Changsha 410100, China;4. Key Laboratory of Shield Tunneling and Tunneling Tool Technology in Jilin Province, Jilin Welter Tunnel Equipment Co., Ltd, Jilin 132299, China;1. Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA;2. School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an 710121, China;3. School of Business, Jilin University, Changchun 130012, China;1. School of Mechanical Engineering, Yanshan University, Qinhuangdao City, Hebei, PR China;2. Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada;1. Technische Universität Berlin, Germany;2. Hermann-Rietschel-Institut, Technische Universität Berlin, Berlin Germany;3. Leibniz University Hannover, Germany
Abstract:
Keywords:Brain–computer interface  EEG  Deep learning  Time–frequency analysis  EOG  Robot control
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