Research Article
Real-Time Gesture Recognition Based On Motion Quality Analysis
@ARTICLE{10.4108/icst.intetain.2015.259608, author={C\^{e}line Jost and Igor Stankovic and Pierre De Loor and Alexis N\^{e}d\^{e}lec and Elisabetta Bevacqua}, title={Real-Time Gesture Recognition Based On Motion Quality Analysis}, journal={EAI Endorsed Transactions on e-Learning}, volume={2}, number={8}, publisher={EAI}, journal_a={EL}, year={2015}, month={8}, keywords={gesture recognition, quality motion features, morphology independence}, doi={10.4108/icst.intetain.2015.259608} }- Céline Jost
Igor Stankovic
Pierre De Loor
Alexis Nédélec
Elisabetta Bevacqua
Year: 2015
Real-Time Gesture Recognition Based On Motion Quality Analysis
EL
EAI
DOI: 10.4108/icst.intetain.2015.259608
Abstract
This paper presents a robust and anticipative real-time gesture recognition and its motion quality analysis module. By utilizing a motion capture device, the system recognizes gestures performed by a human, where the recognition process is based on skeleton analysis and motion features computation. Gestures are collected from a single person. Skeleton joints are used to compute features which are stored in a reference database, and Principal Component Analysis (PCA) is computed to select the most important features, useful in discriminating gestures. During real-time recognition, using distance measures, real-time selected features are compared to the reference database to find the most similar gesture. Our evaluation results show that: i) recognition delay is similar to human recognition delay, ii) our module can recognize several gestures performed by different people and is morphology-independent, and iii) recognition rate is high: all gestures are recognized during gesture stroke. Results also show performance limits
Copyright © 2015 C. Jost et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
