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)|
|Title of host publication||ISWC 2021 - Proceedings of the 2021 ACM International Symposium on Wearable Computers|
|Publisher||Association for Computing Machinery|
|Number of pages||5|
|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
|Name||Proceedings - International Symposium on Wearable Computers, ISWC|
|Conference||25th ACM International Symposium on Wearable Computers, ISWC 2021|
|Period||9/21/21 → 9/26/21|
Bibliographical noteFunding Information:
This work was supported by the University of Minnesota Provost’s Grand Challenges Research Initiative Grant.
© 2021 Owner/Author.
- dynamic compression
- functional clothing
- shape memory alloy
- soft robotics
- user experience
- wearable haptics