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 | Source: | 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). | Keywords: | wearable; intelligent clothing; motor learning; posture sensing; rehabilitation; smart textiles | Document URI: | http://hdl.handle.net/1942/22644 | ISBN: | 9781450340823 | DOI: | 10.1145/2851581.2890262 | Rights: | Copyright is held by the owner/author(s). | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2019 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wang et al 2016_Zishi_CHI_Submission.pdf Restricted Access | Published version | 2.74 MB | Adobe PDF | View/Open Request a copy |
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