Choi, Junhyuk Lee, Song Joo Kim, Seung Jong Lee, Jong Min Kim, Hyungmin 2024-01-19T10:39:32Z 2024-01-19T10:39:32Z 2022-02-28 2018-01-16 https://pubs.kist.re.kr/handle/201004/114379 In this study, we employed a linear classifier to grasp the abstract features of electroencephalography (EEG) for recognizing voluntary gait intention and termination. We monitored Mu-band EEG to find gait intention and tried to detect a movement on/offset. Considerable gait-related (de) synchronization occurred hence, amplified by common spatial pattern (CSP). Performance of the classifier was evaluated in terms of classification success rates and false positive rates. English IEEE Detecting Voluntary Gait Initiation/Termination Intention Using EEG Conference 10.1109/IWW-BCI.2018.8311532 1 6th International Winter Conference on Brain-Computer Interface (BCI), pp.185 - 187 6th International Winter Conference on Brain-Computer Interface (BCI) 185 187 KO 하이원리조트 Korea 2018-01-15 2018 6TH INTERNATIONAL CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI) 000458446600047