Artificial Intelligence of Behavior for Human Emotion Recognition in Closed Environments

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Project publication · IEEE Open Journal of the Computer Society

Summary

The article proposes an artificial intelligence of behavior approach to recognize human emotions in closed environments using sensors and contextual data.

Matriz y resultados de reconocimiento de emociones humanas en entornos cerrados
Figure from the original article. Source: IEEE Open Journal of the Computer Society, reproduced without modification under CC BY-NC-ND 4.0.

Authors: Gonzalo-Alberto Alvarez-Garcia, Claudia Zúñiga-Cañón, Antonio-Javier Garcia-Sanchez, Joan Garcia-Haro, Milton Sarria-Paja, Rafael Asorey-Cacheda

Journal: IEEE Open Journal of the Computer Society

DOI: 10.1109/OJCS.2024.3463173

Funding: PID2023-148214OB-C21.

UPCT Repository: http://hdl.handle.net/10317/17315

Bibliometric indicators

JCR quartileQ1
Impact factor8.2
Google Scholar citations7
JCR area
Computer Science, Theory & Methods
JCR year
2024
Scholar query
21 May 2026

Main contribution

The proposal combines environmental measurements and signals related to emotional state to build adaptive spaces. The approach extends the use of artificial intelligence toward interaction between people, environment and technology.

Link with BoND1

BoND1 considers IoT networks as infrastructure for capturing context and enabling intelligent services. This publication connects with that vision by using sensing and machine learning to interpret closed environments and support adaptive decisions.

DOI UPCT Repository
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