Mechatronic Implementation and Trajectory Tracking Validation of a BCI-based Human-wheelchair Interface
Journal
Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
Journal Volume
2020-November
Pages
304-309
Date Issued
2020
Author(s)
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.
Subjects
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
Type
conference paper