Personalized Clustering for Emotion Recognition Improvement
Laura Gutiérrez-Martín,
Celia López-Ongil,
Jose M. Lanza-Gutiérrez
et al.
Abstract:Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense, there are applications related to the safety and well-being of people (sexual assaults, gender-based violence, children and elderly abuse, mental health, etc.) that require even more improvements. Emotion detection should be done with fast, discrete, and non-luxur… Show more
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