Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13789
Title: Cushionware : a practical sitting posture-based interaction system
Authors: Liang, G
Cao, J 
Liu, X
Han, X
Keywords: Natural user interface
Sitting posture
Issue Date: 2014
Publisher: Association for Computing Machinery
Source: Conference on Human Factors in Computing Systems - Proceedings, 2014, p. 591-594 How to cite?
Abstract: Sitting posture-based interaction is to leverage user's sitting posture as an input for interaction. In order to realize it, user's sitting posture needs to be recognized accurately. However, existing works on sitting posture recognition either use intrusive wearable/visual sensors or rely on expensive high-resolution pressure sensor array, and thus hindering the widespread adoption. In this work, we introduce Cushionware, a practical sitting posture recognition system that is based on sparse pressure sensor array. Pressure sensor array is placed within the chair cushion to collect pressure data while user is sitting. After collecting the data, we first model sitting posture by extracting a set of user-invariant features and then identify the sitting posture using machine learning method. To demonstrate the utility of Cushionware, we develop two applications including video game playing and wheelchair motion control.
Description: 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014, Toronto, ON, 26 April-1 May 2014
URI: http://hdl.handle.net/10397/13789
ISBN: 9781450324748
DOI: 10.1145/2559206.2574778
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

4
Last Week
0
Last month
1
Citations as of Nov 9, 2017

Page view(s)

41
Last Week
7
Last month
Checked on Nov 19, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.