https://scholars.lib.ntu.edu.tw/handle/123456789/611555
Title: | Mechatronic Implementation and Trajectory Tracking Validation of a BCI-based Human-wheelchair Interface | Authors: | Chen J.-W. Wu C.-J. Lin Y.-T. Kuo Y.-C. Kuo C.-H. CHUNG-HSIEN KUO |
Keywords: | Agricultural robots;Classification (of information);Mean square error;Robotics;Support vector machines;Trajectories;Wheelchairs;Canonical correlation analysis;Display board;Information transfer rate;Root mean squared errors;Spatial filters;Trajectory tracking;Visual stimulus;Wheelchair control;Brain computer interface | Issue Date: | 2020 | Journal Volume: | 2020-November | Start page/Pages: | 304-309 | Source: | Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics | Abstract: | This paper presents a mechatronic P300-based brain computer interface (BCI) for wheelchair control applications. A translucent visual stimulus panel (TVSP) is set up in front of the wheelchair to provide an intuitive P300 visual stimulus operation as well as to realize the see-through scene during operating wheelchairs. In this research, a micro projector is utilized to produce flickering visual stimuli on the display board which is 35cm away from the user. To improve the information transfer rate (ITR), a spatial filter based on Canonical Correlation Analysis (CCA) and Support Vector Machine (SVM) were also applied to this work to improve the performance of BCI classification. The result of experiments showed that the proposed BCI is with 88.2% in accuracy and 22.97 bits/min information transfer rate in average received from ten subjects. In ground truth experiments of practical trajectory tracking, the root mean squared error (RMSE) of P300 BCI are 12.11cm in 'U' trajectory test. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095589435&doi=10.1109%2fBioRob49111.2020.9224373&partnerID=40&md5=8077823eaf2f2c7ba45b6db627a448d2 https://scholars.lib.ntu.edu.tw/handle/123456789/611555 |
DOI: | 10.1109/BioRob49111.2020.9224373 |
Appears in Collections: | 機械工程學系 |
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