A brain-wave-actuated small robot car using ensemble empirical mode decomposition-based approach

Po Lei Lee*, Hsiang Chih Chang, Tsung Yu Hsieh, Hua Ting Deng, Chia-Wei Sun

*此作品的通信作者

研究成果: Article同行評審

47 引文 斯高帕斯(Scopus)

摘要

An ensemble empirical mode decomposition (EEMD)-based approach was developed to extract steady-state visual evoked potentials (SSVEPs) for wireless handling of a small robot car. Three visual stimuli, flickering at 13, 14, and 15 Hz, were displayed on a liquid crystal display monitor to induce user's SSVEPs. The induced SSVEPs were used to control three movement functions (forward, left, and right) of the small robot car. Users gazed at one chosen visual stimulus at one time, and the induced SSVEP was recognized to activate the desired movement function. In this paper, all subjects were requested to handle the small robot car to complete an S-shaped course four times. The proposed system utilized only one electroencephalography (EEG) channel placed at the Oz position. The acquired EEG signals were first segmented into 1-s epochs, and each epoch was then decomposed by EEMD into a series of oscillation components, denoted as intrinsic oscillatory functions (IOFs), representing multiscale features of the recorded signal. The SSVEP-related IOFs were then recognized using a matched filter detector (MFD), including a matched filter demodulator and an amplitude detector. The visual stimulus, which contributed maximum power to the MFD, was recognized as the gazed target. In this paper, all subjects could actuate the small robot car using the proposed EEMD-based brain computer interface system to complete an S-shaped course four times; the mean execution time, number of valid detections, and command transfer interval over the 11 subjects were 84.5 s, 51.13 commands, and 1.65 s/command, respectively.

原文English
文章編號6166900
頁(從 - 到)1053-1064
頁數12
期刊IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
42
發行號5
DOIs
出版狀態Published - 12 3月 2012

指紋

深入研究「A brain-wave-actuated small robot car using ensemble empirical mode decomposition-based approach」主題。共同形成了獨特的指紋。

引用此