@inproceedings{59a940f93f954854bcddf98154fe1c63,
title = "Detecting voluntary gait initiation/termination intention using EEG",
abstract = "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.",
keywords = "ASR, CSP, EEG, gait intention, LDA",
author = "Junhyuk Choi and Lee, {Song Joo} and Seung-Jong Kim and Lee, {Jong Min} and Hyungmin Kim",
year = "2018",
month = mar,
day = "9",
doi = "10.1109/IWW-BCI.2018.8311532",
language = "English",
series = "2018 6th International Conference on Brain-Computer Interface, BCI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--3",
booktitle = "2018 6th International Conference on Brain-Computer Interface, BCI 2018",
note = "6th International Conference on Brain-Computer Interface, BCI 2018 ; Conference date: 15-01-2018 Through 17-01-2018",
}