Software Architecture for Smart Emotion Recognition and Regulation of the Ageing Adult

被引:0
作者
José Carlos Castillo
Álvaro Castro-González
Antonio Fernández-Caballero
José Miguel Latorre
José Manuel Pastor
Alicia Fernández-Sotos
Miguel A. Salichs
机构
[1] Universidad de Castilla-La Mancha,Instituto de Investigación en Informática de Albacete
[2] Universidad Carlos III de Madrid,Robotics Lab
[3] Universidad de Castilla-La Mancha,Instituto de Investigación en Discapacidades Neurológicas
[4] Universidad de Castilla-La Mancha,Instituto de Tecnologías Audiovisuales
[5] Universidad de Castilla-La Mancha,Facultad de Educación de Albacete
[6] Conservatorio Profesional de Música Maestro Gómez Villa,undefined
来源
Cognitive Computation | 2016年 / 8卷
关键词
Emotion recognition; Emotion regulation; Ambient intelligence; Gerontechnology; Software architecture;
D O I
暂无
中图分类号
学科分类号
摘要
This paper introduces the architecture of an emotion-aware ambient intelligent and gerontechnological project named “Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation”. The objective of the proposal is to find solutions for improving the quality of life and care of the elderly who can or want to continue living at home by using emotion regulation techniques. A series of sensors is used for monitoring the elderlies’ facial and gestural expression, activity and behaviour, as well as relevant physiological data. This way the older people’s emotions are inferred and recognized. Music, colour and light are the stimulating means to regulate their emotions towards a positive and pleasant mood. Then, the paper proposes a gerontechnological software architecture that enables real-time, continuous monitoring of the elderly and provides the best-tailored reactions of the ambience in order to regulate the older person’s emotions towards a positive mood. After describing the benefits of the approach for emotion recognition and regulation in the elderly, the eight levels that compose the architecture are described.
引用
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页码:357 / 367
页数:10
相关论文
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