Sensing social behavior with smart trousers
File(s)
Published version
OA Location
Author(s)
Skach, Sophie
Healey, Patrick GT
Stewart, Rebecca
Type
Journal Article
Abstract
Nonverbal signals play an important role in social interaction. Body orientation, posture, hand, and leg movements all contribute to successful communication, though research has typically focused on cues transmitted from the torso alone. Here, we explore lower body movements and address two issues. First, the empirical question of what social signals they provide. Second, the technical question of how these movements could be sensed unintrusively and in situations where traditional methods prove challenging. To approach these issues, we propose a soft, wearable sensing system for clothing. Bespoke “smart” trousers with embedded textile pressure sensors are designed and deployed in seated, multiparty conversations. Using simple machine learning techniques and evaluating individual and community models, our results show that it is possible to distinguish basic conversational states. With the trousers picking up speaking, listening, and laughing, they present an appropriate modality to ubiquitously sense human behavior.
Date Issued
2021-07-01
Date Acceptance
2021-07-01
Citation
IEEE Pervasive Computing, 2021, 20 (3), pp.30-40
ISSN
1536-1268
Publisher
Institute of Electrical and Electronics Engineers
Start Page
30
End Page
40
Journal / Book Title
IEEE Pervasive Computing
Volume
20
Issue
3
Copyright Statement
© 2021 The Author(s). This work is licensed under a Creative Commons AttributionNonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/
4.0/
4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000681109800011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Sensors
Social factors
Transmission line matrix methods
Fabrics
Smart textiles
Intelligent sensors
Publication Status
Published
Date Publish Online
2021-07-12