Back to Publications

Effect of EMG Artifacts on Video Category Classification from EEG

Mohammad Raihanul Bashar1, Rayhan Sardar Tipu2, Aunnoy K. Mutasim3, M. Ashraful Amin2
1 Concordia University • 2 Affiliation not added yet • 3 University of Calgary
ICIEV-ISCMHT, 2017
DOI

Abstract

EEG signals are highly susceptible to noise, and mixtures of electrooculography (EOG) and electromyography (EMG) artefacts with EEG are inevitable. This paper presents findings on the effects of EMG artefacts on EEG signals used to categorize videos. The experiments suggest that, for video-category classification using EEG, signals with EMG artefacts have more discriminating capacity.

Related Work / Research

Crossing Realities Has a Cost: Evaluating AR Second Screens for AI-Assisted Desktop AuthoringSUI 26Effect of Artefact Removal Techniques on EEG Signals for Video Category ClassificationICPR 18Computational Intelligence for Pattern Recognition in EEG SignalsCIPR 18

BibTeX

@inproceedings{bashar2017effect,
  author = {Bashar, Mohammad Raihanul and Tipu, Rayhan Sardar and Mutasim, Aunnoy K. and Amin, M. Ashraful},
  title = {Effect of EMG Artifacts on Video Category Classification from EEG},
  booktitle = {2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology},
  pages = {1--4},
  year = {2017},
  doi = {10.1109/ICIEV.2017.8338603}
}