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Título
Emotional AI in Healthcare: a pilot architecture proposal to merge emotion recognition tools
Autor(es)
Materia
Emotional AI
Healthcare
Digital Ecosystems
Software Architectur
Clasificación UNESCO
3212 Salud Publica
1203.04 Inteligencia Artificial
Fecha de publicación
2021
Citación
Marcos-Pablos, S., García-Peñalvo, F. J., & Vázquez-Ingelmo, A. (2021). Emotional AI in Healthcare: A Pilot Architecture Proposal to Merge Emotion Recognition Tools. In M. Alier & D. Fonseca (Eds.), Proceedings TEEM’21. Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (Barcelona, Spain, October 27th – 29th, 2021) (pp. 342-349). ACM. https://doi.org/10.1145/3486011.3486472
Resumen
The use of emotional artificial intelligence (EAI) looks promising
and is continuing to improve during the last years. However, in
order to effectively use EAI to help in the diagnose and treat health
conditions there are still significant challenges to be tackled. Because
EAI is still under development, one of the most important
challenges is to integrate the technology into the health provision
process. In this sense, it is important to complement EAI technologies
with expert supervision, and to provide health professionals
with the necessary tools to make the best of EAI without a deep
knowledge of the technology. The present work aims to provide an
initial architecture proposal for making use of different available
technologies for emotion recognition, where their combination
could enhance emotion detection. The proposed architecture is
based on an evolutionary approach so to be integrated in digital
health ecosystems, so new modules can be easily integrated. In
addition, internal data exchange utilizes Robot Operating System
(ROS) syntax, so it can also be suitable for physical agents.
URI
DOI
10.1145/3486011.3486472
Colecciones
- GRIAL. Artículos [441]