Abstract
In this chapter, the modalities that are relevant for affect recognition in the scope of this work are presented, together with pre-processing steps and feature choices. The discussed modalities are audio, video and a number of biophysiological channels namely electrocardiogram, electromyography and electrodermal activity.
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© 2020 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
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Kächele, M. (2020). Modalities and Feature extraction. In: Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-28674-3_4
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DOI: https://doi.org/10.1007/978-3-658-28674-3_4
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Online ISBN: 978-3-658-28674-3
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