The Use of a Brain Computer Interface Remote Control to Navigate a Recreational DeviceReport as inadecuate




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Mathematical Problems in EngineeringVolume 2013 2013, Article ID 823736, 8 pages

Research Article

Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Yung Kang District, Tainan City 71005, Taiwan

Department of Electrical Engineering, National Taitung College, Taitung City 95045, Taiwan

Received 15 September 2013; Accepted 21 October 2013

Academic Editor: Teen-Hang Meen

Copyright © 2013 Shih Chung Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

People suffering from paralysis caused by serious neural disorder or spinal cord injury also need to be given a means of recreation other than general living aids. Although there have been a proliferation of brain computer interface BCI applications, developments for recreational activities are scarcely seen. The objective of this study is to develop a BCI-based remote control integrated with commercial devices such as the remote controlled Air Swimmer. The brain is visually stimulated using boxes flickering at preprogrammed frequencies to activate a brain response. After acquiring and processing these brain signals, the frequency of the resulting peak, which corresponds to the user’s selection, is determined by a decision model. Consequently, a command signal is sent from the computer to the wireless remote controller via a data acquisition DAQ module. A command selection training CST and simulated path test SPT were conducted by 12 subjects using the BCI control system and the experimental results showed a recognition accuracy rate of 89.51% and 92.31% for the CST and SPT, respectively. The fastest information transfer rate demonstrated a response of 105 bits-min and 41.79 bits-min for the CST and SPT, respectively. The BCI system was proven to be able to provide a fast and accurate response for a remote controller application.





Author: Shih Chung Chen, Aaron Raymond See, Yeou Jiunn Chen, Chia Hong Yeng, and Chih Kuo Liang

Source: https://www.hindawi.com/



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