TY - GEN
T1 - StretchEBand
T2 - 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
AU - Vogl, Anita
AU - Parzer, Patrick
AU - Babič, Teo
AU - Leong, Joanne
AU - Olwal, Alex
AU - Haller, Michael
N1 - Publisher Copyright:
© 2017 ACM.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/5/2
Y1 - 2017/5/2
N2 - The increased interest in interactive soft materials, such as smart clothing and responsive furniture, means that there is a need for flexible and deformable electronics. In this paper, we focus on stitch-based elastic sensors, which have the benefit of being manufacturable with textile craft tools that have been used in homes for centuries. We contribute to the understanding of stitch-based stretch sensors through four experiments and one user study that investigate conductive yarns from textile and technical perspectives, and analyze the impact of different stitch types and parameters. The insights informed our design of new stretch-based interaction techniques that emphasize eyes-free or causal interactions. We demonstrate with StretchEBand how soft, continuous sensors can be rapidly fabricated with different parameters and capabilities to support interaction with a wide range of performance requirements across wearables, mobile devices, clothing, furniture, and toys.
AB - The increased interest in interactive soft materials, such as smart clothing and responsive furniture, means that there is a need for flexible and deformable electronics. In this paper, we focus on stitch-based elastic sensors, which have the benefit of being manufacturable with textile craft tools that have been used in homes for centuries. We contribute to the understanding of stitch-based stretch sensors through four experiments and one user study that investigate conductive yarns from textile and technical perspectives, and analyze the impact of different stitch types and parameters. The insights informed our design of new stretch-based interaction techniques that emphasize eyes-free or causal interactions. We demonstrate with StretchEBand how soft, continuous sensors can be rapidly fabricated with different parameters and capabilities to support interaction with a wide range of performance requirements across wearables, mobile devices, clothing, furniture, and toys.
KW - Deformation
KW - DIY
KW - Fabrication
KW - Interactive textiles
KW - Smart car seat
KW - Smart textiles
KW - Stretching sensor
UR - http://www.scopus.com/inward/record.url?scp=85030449482&partnerID=8YFLogxK
U2 - 10.1145/3025453.3025938
DO - 10.1145/3025453.3025938
M3 - Conference contribution
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 2617
EP - 2627
BT - CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 6 May 2017 through 11 May 2017
ER -