Prediction of Affective States through Non-invasive Thermal Camera and EMG Recordings

Date

2011-10-12

Author

Gökçay, Didem
Baltaci, Serdar
Karahan, Cagri
Turkay, Kemal Dogus

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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We propose utilization of thermal camera recordings along with simultaneous EMG recordings to monitor the dynamically changing affective state of a human. Affective state is depicted along the valence and arousal dimensions, such that readings from EMG are mapped onto the valence axis and readings from the thermal camera are mapped onto the arousal axis. The combined system increases the accuracy in prediction of affective states due to a larger palette of extracted features.

Subject Keywords

Valence, Arousal, EMG, Thermal camera, Movie

URI

https://hdl.handle.net/11511/53845

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Graduate School of Informatics, Conference / Seminar