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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22644

Title: Zishi: A Smart Garment for Posture Monitoring
Authors: Wang, Qi
Toeters, Marina
Chen, Wei
Timmermans, Annick
Markopoulos, Panos
Issue Date: 2016
Publisher: ACM
Citation: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, ACM,p. 3792-3795
Abstract: Zishi is a garment designed to support posture monitoring for the purposes of rehabilitation training. It has been designed with attention to presenting accurate and informative feedback to patients regarding their thoracic and shoulder posture as well as comfort, ease of use, wearability and aesthetics. Zishi can be useful during rehabilitation training for a variety of patient groups. So far, we have been concerned with two broad training scenarios a) for arm-hand (neurological) rehabilitation training after stroke or for MS and spinal cord injury patients. B) for shoulder patients. Zishi consists of a garment integrated with smart textiles and wearable electronics. It presents real-time feedback as a vibration delivered through the garment, visual and audio instructions through android-hand held device (smartphone or tablet).
URI: http://hdl.handle.net/1942/22644
DOI: 10.1145/2851581.2890262
ISBN: 9781450340823
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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