Wearable and automotive systems for affect recognition from physiology
Wearable and automotive systems for affect recognition from physiology
2005 Special Issue: A systems approach to appraisal mechanisms in emotion
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: A systems approach to appraisal mechanisms in emotion
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: The interaction of attention and emotion
Neural Networks - Special issue: Emotion and brain
Pervasive Computing Support for Hospitals: An overview of the Activity-Based Computing Project
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Sensor Networks, Wearable Computing, and Healthcare Applications
IEEE Pervasive Computing
Pervasive healthcare and wireless health monitoring
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Context-Aware Middleware for Anytime, Anywhere Social Networks
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A survey of affect recognition methods: audio, visual and spontaneous expressions
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A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
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IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
ANGELAH: a framework for assisting elders at home
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Detecting stress during real-world driving tasks using physiological sensors
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Information Technology in Biomedicine
Spatiotemporal salient points for visual recognition of human actions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Context-aware middleware solutions for anytime and anywhere emergency assistance to elderly people
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Mobile Networks and Applications
Image and Vision Computing
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The arousal of emotion might have consequences for physical health is a broadly acknowledged idea. Therapy for depression, prevention for heart pathologies, and rehabilitation treatments for drug addiction are just a few examples of application domains that may benefit from technologies capable of monitoring, detecting, representing, and disseminating information pertaining to patients' physical and psychological/emotional states. However, the design and development of healthcare applications of this kind is a rather challenging issue that requires to integrate sensor infrastructures, which are able to detect changes in patients' physiological and emotional states, and of sharing this information to interested caregivers, such as professional medical staff, relatives, and friends. This paper proposes the Pervasive Environment for AffeCtive Healthcare (PEACH) framework, a middleware level support for affective healthcare that incarnates these ideas and describes its effective functions in a drug addiction treatment application scenario.