Influence of mental fatigue on P300 and SSVEP during virtual wheelchair navigation

Author

Lamti, Hachem A. ; Ben Khelifa, Mohamed Moncef ; Alimi, Adel M. ; Gorce, Philippe

Author_Institution

Res. Groups in Intell. Machines, Univ. of Sfax, Sfax, Tunisia

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

1255

Lastpage

1258

Abstract

The aim of this paper is to investigate the influence of mental fatigue on Positive 300 (P300) and Steady State Visual Evoked Potentials (SSVEP) during virtual wheelchair navigation. For this purpose, experimental protocols were setup in order to induce mental fatigue, P300 and SSVEP. Next, the correlation between mental fatigue and P300/SSVEP parameters were investigated. At the end, the best correlated features from both modalities were used as inputs for three classification techniques. Depending on the subject samples (healthy vs palsy), The best overall classification rate reached 80% for P300 modality. The results of this investigation constitute the first steps towards an anticipatory system that can assist the wheelchair driver during navigation, depending on his mental fatigue level.

Keywords

electroencephalography; medical signal processing; neurophysiology; signal classification; virtual reality; visual evoked potentials; wheelchairs; P300/SSVEP parameters; Positive 300; Steady State Visual Evoked Potentials; anticipatory system; classification rate; classification techniques; correlated features; experimental protocols; mental fatigue level; virtual wheelchair navigation; wheelchair driver; Correlation; Electroencephalography; Fatigue; Navigation; Sensors; Visualization; Wheelchairs;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6943825

Filename

6943825