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http://dx.doi.org/10.3745/KTSDE.2016.5.10.503

Feature-Strengthened Gesture Recognition Model Based on Dynamic Time Warping for Multi-Users  

Lee, Suk Kyoon (단국대학교 소프트웨어학과)
Um, Hyun Min (단국대학교 소프트웨어학과)
Kwon, Hyuck Tae (단국대학교 컴퓨터과학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.10, 2016 , pp. 503-510 More about this Journal
Abstract
FsGr model, which has been proposed recently, is an approach of accelerometer-based gesture recognition by applying DTW algorithm in two steps, which improved recognition success rate. In FsGr model, sets of similar gestures will be produced through training phase, in order to define the notion of a set of similar gestures. At the 1st attempt of gesture recognition, if the result turns out to belong to a set of similar gestures, it makes the 2nd recognition attempt to feature-strengthened parts extracted from the set of similar gestures. However, since a same gesture show drastically different characteristics according to physical traits such as body size, age, and sex, FsGr model may not be good enough to apply to multi-user environments. In this paper, we propose FsGrM model that extends FsGr model for multi-user environment and present a program which controls channel and volume of smart TV using FsGrM model.
Keywords
Gesture Recognition; Dynamic Time Warping(DTW); Machine Learning;
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Times Cited By KSCI : 3  (Citation Analysis)
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