DocumentCode
63439
Title
Ambulatory Assessment of Affect: Survey of Sensor Systems for Monitoring of Autonomic Nervous Systems Activation in Emotion
Author
Wac, Katarzyna ; Tsiourti, Christiana
Author_Institution
Quality of Life Technol., Univ. of Geneva, Geneva, Switzerland
Volume
5
Issue
3
fYear
2014
fDate
July-Sept. 1 2014
Firstpage
251
Lastpage
272
Abstract
Advances in miniaturized computing, storage and communication resources for personal wearable electronics devices, as well as the availability of diverse sensors for state assessment enable the development of a wide variety of wearable body area network (BAN) systems for psychophysiological measurements. These systems pave the way for acquisition of quality data relevant for research studies, amongst others, on the autonomic nervous system (ANS) activation in emotion. We present a high-level overview of BAN and its features, and we review 173 publications that report research studies on emotion activation and particularly 15 BAN systems employed in these studies. We discuss each BAN in terms of its capacity for ambulatory, i.e., out of the laboratory, assessment of the ANS activation in emotion. Finally, we highlight the design challenges to be addressed to make BAN systems effective for a wide range of applications to support users wellbeing and overall Quality of Life improvement. This paper provides knowledge to those interested in (ambulatory) assessment of the ANS activation on the set of systems currently used in research, and it aims to highlight opportunities for scientists and practitioners in, amongst others, the affective computing domain, enabling them to reflect upon their BAN requirements and study designs.
Keywords
body area networks; computerised monitoring; distributed sensors; medical computing; neurophysiology; patient monitoring; ANS activation; BAN systems; affect ambulatory assessment; autonomic nervous systems activation monitoring; body area network; emotion activation; life quality improvement; sensor systems; Biomedical monitoring; Context; Laboratories; Monitoring; Psychology; Real-time systems; Sensor systems; Information Interfaces/representation; pervasive computing; wearable computers; wireless sensor network;
fLanguage
English
Journal_Title
Affective Computing, IEEE Transactions on
Publisher
ieee
ISSN
1949-3045
Type
jour
DOI
10.1109/TAFFC.2014.2332157
Filename
6840953
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