Abstract
This paper presents the design and development of a wearable robotic compression garment and integrated controller to automatically detect stressful situations in real-Time and provide compression as an intervention for stress reduction. The developed garment leverages traditional apparel assembly techniques for more feasible manufacture. The robotic/active garment material that provides compression uses dynamically activated materials, known as shape memory alloys (SMAs), as a way to provide personalized stress intervention. This dual mode system functions either within an integrated home intervention system with a central hub and voice-Activated conversational agent or as a separate system controlled using a touch-based or voice-Activated mobile application. The system presents garment improvements by addressing wearability, thermal insulation, and pressure consistency, as well as control portability and scalability.
Original language | English (US) |
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Title of host publication | ISWC 2021 - Proceedings of the 2021 ACM International Symposium on Wearable Computers |
Publisher | Association for Computing Machinery |
Pages | 170-174 |
Number of pages | 5 |
ISBN (Electronic) | 9781450384629 |
DOIs | |
State | Published - Sep 21 2020 |
Event | 25th ACM International Symposium on Wearable Computers, ISWC 2021 - Virtual, Online, United States Duration: Sep 21 2021 → Sep 26 2021 |
Publication series
Name | Proceedings - International Symposium on Wearable Computers, ISWC |
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ISSN (Print) | 1550-4816 |
Conference
Conference | 25th ACM International Symposium on Wearable Computers, ISWC 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 9/21/21 → 9/26/21 |
Bibliographical note
Funding Information:This work was supported by the University of Minnesota Provost’s Grand Challenges Research Initiative Grant.
Publisher Copyright:
© 2021 Owner/Author.
Keywords
- dynamic compression
- functional clothing
- shape memory alloy
- soft robotics
- user experience
- wearability
- wearable haptics