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.
|Title of host publication||International Conference on Biomedical Electronics and Devices, Biodevices 2009|
|Editors||T.F.B. Filho, H. Gamboa|
|Place of Publication||Portugal|
|Number of pages||10|
|Publication status||Published - 14 Jan 2009|
- Automatic classification
- Man-Machine Interface
- HMI-CI: Computational Intelligence
- HMI-MI: MULTIMODAL INTERACTIONS
- HMI-IE: Information Engineering
- HMI-HF: Human Factors
van den Broek, E., Lisy, V., Westerink, J. H. D. M., Schut, M. H., & Tuinenbreijer, K. (2009). Biosignals as an Advanced Man-Machine Interface. In T. F. B. Filho, & H. Gamboa (Eds.), International Conference on Biomedical Electronics and Devices, Biodevices 2009 (pp. IS15-IS24). Portugal: INSTICC PRESS.