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Gesture Recognition Using Dynamic Time Warping and Kinect: A Practical Approach
- Source :
- 2017 International Conference on Information Systems and Computer Science (INCISCOS).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- This paper describes a detailed methodology that allows gesture recognition performed with the upper limbs of the human body, based on Dynamic Time Warping (DTW) technique using a Kinect in order to control a slide-show. Several involved parameters on the DTW algorithm will be analyzed allowing an accurate recognition, considering variations on the gesture velocity and even if subject's physical shape differ. A software was developed in Microsoft Visual C# to show and test how different parameters affects the performance of the algorithm. Finally an accuracy of 84.07% was obtained in this approach.
- Subjects :
- Dynamic time warping
business.industry
Computer science
010401 analytical chemistry
Physical shape
02 engineering and technology
01 natural sciences
0104 chemical sciences
Software
Gesture recognition
020204 information systems
Human machine interaction
0202 electrical engineering, electronic engineering, information engineering
Computer vision
Artificial intelligence
business
Gesture
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 International Conference on Information Systems and Computer Science (INCISCOS)
- Accession number :
- edsair.doi...........674da7b3f1f5c535b3f233a94a3a7b93
- Full Text :
- https://doi.org/10.1109/inciscos.2017.36