Biosignals as an Advanced Man-Machine Interface


Broek, Egon L. van den and Lisy, Viliam and Westerink, Joyce H.D.M. and Schut, Marleen H. and Tuinenbreijer, Kees (2009) Biosignals as an Advanced Man-Machine Interface. In: International Conference on Health Informatics, Healthinf 2009, 14-17 January 2009, Porto, Portugal (pp. IS15-IS24).

open access
Abstract:As is known for centuries, humans exhibit an electrical profile. This profile is altered through various physiological processes, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA). These biosignals can reveal our emotions and, as such, can serve as an advanced man-machine interface (MMI) for empathic consumer products. However, such an MMI requires the correct classification of biosignals to emotion classes. This paper explores the use of EDA and three facial EMG signals to determine neutral, positive, negative, and mixed emotions, using recordings of 24 people. A range of techniques is tested, which resulted in a generic framework for automated emotion classification with up to 61.31% correct classification of the four emotion classes, without the need of personal profiles. Among various other directives for future research, the results emphasize the need for both personalized biosignal-profiles and the recording of multiple biosignals in parallel.
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:
Conference URL:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 260138