Abstract
Depression is a mental illness that is difficult to diagnose and treat. This mental disorder affects many older adults due several reasons, for instance because of their physical limitations and the natural reduction of their social circle. This article presents a system for monitoring the mood of the elderly through voice processing. The system is particularly focused on detecting sadness, which allows caregivers of family members to react on-time in supporting the person in need. The sadness recognition is done by classifying emotions in groups, according to the Circumflex Model of Affect. After evaluating the system using several emotion databases, the obtained results indicate that this solution is able to recognize 94% of the cases in men and 79% in women. This solution can be embedded in ubiquitous systems that monitor the mood of people in several scenarios.
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Rojas, V., Ochoa, S.F., Hervás, R. (2014). Monitoring Moods in Elderly People through Voice Processing. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_22
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DOI: https://doi.org/10.1007/978-3-319-13105-4_22
Publisher Name: Springer, Cham
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