Abstract
In this paper, we propose a recognition model of emotional state using multi-modal perception, a temporal logic paradigm (in particular, we use chronicles), and dynamical patterns. In this way, our recognition approach is based on chronicles to model the patterns, a definition of the emotions as dynamic patterns, and the idea that they are perceived in a multi-modal way (sound, vision, etc.). In this paper, we present these elements of our approach, and give one example of an application for the recognition of the emotions of the driver of a vehicle.
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Acknowledgments
Dr Aguilar has been partially supported by the Prometeo Project of the Ministry of Higher Education, Science, Technology and Innovation of the Republic of Ecuador.
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Aguilar, J., Chavez, D., Cordero, J. (2016). A Dynamic Recognition Approach of Emotional States for Car Drivers. In: Valencia-García, R., Lagos-Ortiz, K., Alcaraz-Mármol, G., del Cioppo, J., Vera-Lucio, N. (eds) Technologies and Innovation. CITI 2016. Communications in Computer and Information Science, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-48024-4_13
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