Multimodal driver emotion recognition using motor activity and facial expressions
Carlos H. Espino-Salinas,
Huizilopoztli Luna-García,
José M. Celaya-Padilla
et al.
Abstract:Driving performance can be significantly impacted when a person experiences intense emotions behind the wheel. Research shows that emotions such as anger, sadness, agitation, and joy can increase the risk of traffic accidents. This study introduces a methodology to recognize four specific emotions using an intelligent model that processes and analyzes signals from motor activity and driver behavior, which are generated by interactions with basic driving elements, along with facial geometry images captured duri… Show more
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