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Oral Session 5B: Medicine and Neuroscience
Technical Papers
Georgian Room, Chairs: Matthias Harders and Evren Samur
Talks will begin every 15 min.
EEG Correlates of Motor Control Difficulty in Physical Human-Robot Interaction: A Frequency Domain Analysis
Amirhossein H. Memar and Ehsan T. Esfahani
(SUNY Buffalo, USA)
Publisher's Version
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.


Time stamp: 2019-05-27T03:41:37+02:00