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Document Type : Latin Dissertation
Language of Document : English
Record Number : 152044
Doc. No : ET23836
Main Entry : Ying Liu
Title Proper : Motion Extraction, Estimation and Recognition for People with Disabilities Utilizing A Multi-Touch Surface
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Multi-Touch technology provides a successful gesture based Human Computer Interface.The contact and gesture extraction and recognition algorithms of this interfaceare based on full hand function and, therefor, are not accessible to many people withphysical disabilities. This research extends this interface to those with disabilities.Speci.cally we propose two approaches to extract, estimate and recognize hand motionon the Multi-Touch Surface. Our method can extract not only .nger motions,but also the motions of palm and .st, which is especially useful for the users with,.............-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL47097.pdf
Title and statement of responsibility and : Motion Extraction, Estimation and Recognition for People with Disabilities Utilizing A Multi-Touch Surface [Thesis]
 
 
 
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