Smart environment architecture for emotion detection and regulation
Smart environment architecture for emotion detection and regulation
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DOI：
10.1016/j.jbi.2016.09.015
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发表时间：
2016-12-01
影响因子：
4.5
通讯作者：
Fernandez-Sotos, Alicia
中科院分区：
文献类型：
--
作者：
Fernandez-Caballero, Antonio;Martinez-Rodrigo, Arturo;Fernandez-Sotos, Alicia
本文介绍了一种架构，作为智能健康环境中情绪检测和调节的概念验证。该提案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患者的情绪状态。然后，系统会在环境中提供最适合的操作，以在可能的情况下将这些情绪调节为积极情绪。当前最先进的通过音乐和颜色/光进行情绪调节的最终目标是提高受试者的生活质量和护理质量。论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”利用从患者捕获的数据，而“情绪调节”为他/她提供不同的音乐作品和颜色/灯光设置。 “情绪反馈控制”作为反馈控制回路来评估情绪调节对情绪检测的影响。我们目前正在测试整体架构以及在真实环境中的干预，以实现我们的最终目标。 (C) 2016 Elsevier Inc. 保留所有权利。
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. (C) 2016 Elsevier Inc. All rights reserved.