A Framework for Recognizing and Regulating Emotions in the Elderly
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  • 作者:José Carlos Castillo (19)
    Antonio Fernández-Caballero (20)
    álvaro Castro-González (19)
    Miguel A. Salichs (19)
    María T. López (20)
  • 关键词:Gerontechnological Framework ; Emotion Regulation ; Emotion Recognition ; Elderly Monitoring ; Social robotics
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2014
  • 出版时间:2014
  • 年:2014
  • 卷:8868
  • 期:1
  • 页码:320-327
  • 全文大小:689 KB
  • 参考文献:1. Castillo, J.C., Carneiro, D., Serrano-Cuerda, J., Novais, P., Fernández-Caballero, A., Neves, J.: A multi-modal approach for activity classification and fall detection. International Journal of Systems Science?45(4), 810-24 (2014) CrossRef
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    19. de Santos, A., Sánchez, C., Guerra, J., Bailador, G.: A stress-detection system based on physiological signals and fuzzy logic. IEEE Transactions on Industrial Electronics?58(10), 4857-865 (2011) Castro-González (19)
    Miguel A. Salichs (19)
    María T. López (20)

    19. Robotics Lab, Universidad Carlos III de Madrid, 28911, Madrid, Spain
    20. Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071, Albacete, Spain
  • ISSN:1611-3349
文摘
This paper introduces a gerontechnological framework which enables real-time and continuous monitoring of the elderly and provides the best-tailored reactions of a social robot and the proper ambience in order to regulate the older person’s emotions towards a positive emotion. After describing the benefits of the framework for emotion recognition and regulation in the elderly, the eight levels that compose the framework are described. The framework recognizes emotions through studying physiological signals, facial expression and voice. Emotion regulation is enabled by tuning music, color and light to the specific need of the elderly.

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