TITLE
ABSTRACT
This paper introduces a hand gesture recognition system that can detect both of a user’s hands, using depth data generated through an infrared Time of Flight (TOF) method combined with a depth camera. Noise removal using expansion, erosion, and median filters, and hand recognition using integrated images, are applied to create a gesture recognition system that can detect both hands. Both hardware and software necessary for actual testing were gathered, and the recognition speed and accuracy were measured.
KEYWORDS
Gesture Recognition, Depth Image, Time of Flight
REFERENCES
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Cite this paper
Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park. (2018) Space Gesture Recognition System Implementation. International Journal of Signal Processing, 3, 1-4
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