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Journal ArticleDOI

A Novel Middleware Solution to Improve Ubiquitous Healthcare Systems Aided by Affective Information

Tarik Taleb, +2 more
- Vol. 14, Iss: 2, pp 335-349
TLDR
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.
Abstract
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.

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Citations
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Body Area Networks: A Survey

TL;DR: This paper provides a detailed investigation of sensor devices, physical layer, data link layer, and radio technology aspects of BAN research, and presents a taxonomy of B Ban projects that have been introduced/proposed to date.
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Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives

TL;DR: A comprehensive survey on the UAVs and the related issues will be introduced, the envisioned UAV-based architecture for the delivery of Uav-based value-added IoT services from the sky will be introduction, and the relevant key challenges and requirements will be presented.
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Categorical and dimensional affect analysis in continuous input: Current trends and future directions

TL;DR: This survey paper aims to put the continuity aspect of affect under the spotlight by investigating the current trends and providing guidance towards possible future directions.
Proceedings ArticleDOI

Emotion representation, analysis and synthesis in continuous space: A survey

TL;DR: The current state of the art and the new challenges in automatic, dimensional and continuous analysis and synthesis of human emotional behaviour in an interdisciplinary perspective are presented.
Journal ArticleDOI

The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges

TL;DR: An up-to-date picture of the novel healthcare applications enabled by the ICTs advancements, with a focus on their specific hottest research challenges is provided, to help the interested readership not to lose orientation in the complex landscapes possibly generated when advanced ICTS are adopted in application scenarios dictated by the critical healthcare domain.
References
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Journal ArticleDOI

Looking at pictures: affective, facial, visceral, and behavioral reactions

TL;DR: Responsibility specificity, particularly facial expressiveness, supported the view that specific affects have unique patterns of reactivity, and consistency of the dimensional relationships between evaluative judgments and physiological response emphasizes that emotion is fundamentally organized by these motivational parameters.
Journal ArticleDOI

A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

TL;DR: In this paper, the authors discuss human emotion perception from a psychological perspective, examine available approaches to solving the problem of machine understanding of human affective behavior, and discuss important issues like the collection and availability of training and test data.
Book

Emotion in the Human Face

Paul Ekman
Journal ArticleDOI

Detecting stress during real-world driving tasks using physiological sensors

TL;DR: The results show that for most drivers studied, skin conductivity and heart rate metrics are most closely correlated with driver stress level, indicating that physiological signals can provide a metric of driver stress in future cars capable of physiological monitoring.
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