Space Gesture Recognition System Implementation

AUTHOR(S):

Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park

TITLE

Space Gesture Recognition System Implementation

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