Fernández-Caballero Antonio, Martínez-Rodrigo Arturo, Pastor José Manuel, Castillo José Carlos, Lozano-Monasor Elena, López María T, Zangróniz Roberto, Latorre José Miguel, Fernández-Sotos Alicia
Universidad de Castilla-La Mancha, Instituto de Investigación en Informática de Albacete, 02071 Albacete, Spain.
Universidad de Castilla-La Mancha, Instituto de Tecnologías Audiovisuales de Cuenca, 16071 Cuenca, Spain.
J Biomed Inform. 2016 Dec;64:55-73. doi: 10.1016/j.jbi.2016.09.015. Epub 2016 Sep 30.
This paper introduces an architecture as a proof-of-concept for emotion detection and regulation in smart health environments. The aim of the proposal is to detect the patient's emotional state by analysing his/her physiological signals, facial expression and behaviour. Then, the system provides the best-tailored actions in the environment to regulate these emotions towards a positive mood when possible. The current state-of-the-art in emotion regulation through music and colour/light is implemented with the final goal of enhancing the quality of life and care of the subject. The paper describes the three main parts of the architecture, namely "Emotion Detection", "Emotion Regulation" and "Emotion Feedback Control". "Emotion Detection" works with the data captured from the patient, whereas "Emotion Regulation" offers him/her different musical pieces and colour/light settings. "Emotion Feedback Control" performs as a feedback control loop to assess the effect of emotion regulation over emotion detection. We are currently testing the overall architecture and the intervention in real environments to achieve our final goal.
本文介绍了一种架构，作为智能健康环境中情绪检测与调节的概念验证。该提议的目的是通过分析患者的生理信号、面部表情和行为来检测其情绪状态。然后，系统在环境中提供最适合的行动，尽可能将这些情绪调节为积极情绪。通过音乐以及颜色/灯光进行情绪调节的当前技术水平得以实施，最终目标是提高受试者的生活质量和护理水平。本文描述了该架构的三个主要部分，即“情绪检测”“情绪调节”和“情绪反馈控制”。“情绪检测”处理从患者那里捕获的数据，而“情绪调节”为其提供不同的音乐曲目和颜色/灯光设置。“情绪反馈控制”作为一个反馈控制回路，评估情绪调节对情绪检测的效果。我们目前正在真实环境中测试整体架构和干预措施，以实现我们的最终目标。
