@inproceedings{962860e1b57a4a56ac73ef3a61f0b97a,
title = "EEG correlates of motor control difficulty in physical human-robot interaction: A frequency domain analysis",
abstract = "This study investigates the relationship between electroencephalogram (EEG) activity and motor control difficulty during physical interaction with an admittance controlled robot. Subjects performed a fine cooperative manipulation task, in which the motor control difficulty was manipulated by altering admittance dynamics. To quantify motor control difficulty, an interaction instability index is proposed based on the spectral information of interaction forces. Regression analysis is then performed to construct a model to estimate motor control difficulty from EEG spectral features. The results indicate the reliability of EEG signals as an indicator of motor control difficulty in pHRI.",
author = "Memar, \{Amirhossein H.\} and Esfahani, \{Ehsan T.\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Haptics Symposium, HAPTICS 2018 ; Conference date: 25-03-2018 Through 28-03-2018",
year = "2018",
month = may,
day = "9",
doi = "10.1109/HAPTICS.2018.8357181",
language = "English",
series = "IEEE Haptics Symposium, HAPTICS",
publisher = "IEEE Computer Society",
pages = "229--234",
editor = "Yon Visell and Kuchenbecker, \{Katherine J.\} and Gerling, \{Gregory J.\}",
booktitle = "IEEE Haptics Symposium, HAPTICS 2018 - Proceedings",
address = "United States",
}