Implementing Emotion Detection from Speech for Psychological Assessment of Elderly People: A Comparative Study of Python- based Approaches and Existing Solutions
- Warnants, I.
- Tsiogkas, N
- Roca González, Joaquín Francisco 1
- Ortiz Zaragoza, Francisco José 1
- Méndez, I.
- A. Vera Repullo 1
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1
Universidad Politécnica de Cartagena
info
- Joaquín Roca González (coord.)
- Dolores Ojados González (coord.)
- Juan Suardíaz Muro (coord.)
Éditorial: Universidad Politécnica de Cartagena
ISBN: 978-84-17853-76-1
Année de publication: 2023
Pages: 601-604
Congreso: Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB (41. 2023. Cartagena)
Type: Communication dans un congrès
Résumé
In the last ten years, the number of people over 65 has increased 30% in Spain. This trend is anticipated to grow and require more healthcare personnel. To prevent this, people should live longer independently instead of in care homes. The ADDIM system will assist them in living independently. The research presented in this paper is part of the mood detection of the user in the ADDIM (Asistencia Domiciliaria Digital Integral para Mayores) system. This is a Digital platform for monitoring older people's health, safety, companionship, and emotional support at home based on robotics, artificial intelligence, and ambient assisted living. To detect user emotions, the right speech corpus, feature extraction methods, preprocessing methods, and machine learning models have to be selected. Based on the detected emotion, the robot will interact with the user to perform predefined actions. The final mood of the user will be estimated using this output in conjunction ...