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ThinkMind // ACHI 2017, The Tenth International Conference on Advances in Computer-Human Interactions // View article achi_2017_11_20_20037
The Hand Gesture Recognition System Using Depth Camera
 Authors:
Yang-Keun Ahn
Young-Choong PARK Keywords: Gesture Recognition; Text Input System; Sign Language; Sign Language Recognition Abstract:
This study suggests a method for hand gesture recognition using a depth camera in a smart device environment. The hand gesture recognition can be made through the detection of fingers or the recognition of a hand. For the detection of fingers, the hand skeleton is detected through Distance Transform, and the finger detection is made by applying the Convex Hull algorithm. The hand recognition is done by comparing a newly recognized hand gesture with already learned data using the Support Vector Machine (SVM). For this, the hand’s center, finger length, hand axis, axis of fingers, arm center, etc. are reviewed. After recognition of a hand gesture, the corresponding letter is displayed. For the evaluation of the proposed method, an actual smart device system was implemented for experiments. Using an image analysis tool, empirical parameters for performance optimization have been gained and applied, and as a result, the system proposed by this study showed improved performance compared with other methods that had been suggested in previous studies. Pages: 234 to 238 Copyright: Copyright (c) IARIA, 2017 Publication date: March 19, 2017 Published in: conference ISSN: 2308-4138 ISBN: 978-1-61208-538-8 Location: Nice, France Dates: from March 19, 2017 to March 23, 2017
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