디지털융복합연구 (Journal of Digital Convergence)

  • 제13권9호
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  • Pages.259-267
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  • 2015
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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좌표 정보를 이용한 손동작 직선 8 방향 인식 알고리즘

8-Straight Line Directions Recognition Algorithm for Hand Gestures Using Coordinate Information

  • SODGEREL, BYAMBASUREN (Dept. of Computer Engineering, Chungbuk National University) ;
  • Kim, Yong-Ki (Dept. of Computer Engineering, Chungbuk National University) ;
  • Kim, Mi-Hye (Dept. of Computer Engineering, Chungbuk National University)
  • 투고 : 2015.07.18
  • 심사 : 2015.09.20
  • 발행 : 2015.09.28
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 직선을 판별하는 판별방법과 또한 직선으로 판정되는 경우 직선의 8가지 방향에 대한 판정을 위하여 좌표정보와 삼각함수 성질을 이용하여 직선 8반향 알고리즘을 제안하였다. 본 실험은 각 동작 별로 100회씩 총 800회를 실험 하였으며, 본 논문에서 제안한 알고리즘을 통한 정확도는 왼쪽 위로의 대각선 방향이 92%로 가장 높았으며 왼쪽 방향, 오른쪽 위로의 대각선 방향과 오른쪽 아래로의 대각선 방향이 모두 82%로 가장 낮은 인식률을 나타내었다. 이 방법은 기존 방법과는 다르게 학습과정 없이 이미지 처리를 통해 얻은 좌표 정보만으로 손 제스처 인식이 가능하다는 것을 보여준다.

In this paper, we proposed the straight line determination method and the algorithm for 8 directions determination of straight line using the coordinate information and the property of trigonometric function. We conduct an experiment that is 8 hand gestures are carried out 100 times each, a total of 800 times. And the accuracy for the 8 derection determination algorithm is showed the diagonal direction to the left upper side shows the highest accuracy as 92%, and the direction to the left side, the diagonal direction to the right upper side and the diagonal direction to the right bottom side show the lowest accuracy as 82%. This method with coordinate information through image processing than the existing recognizer and the recognition through learning process is possible using a hand gesture recognition gesture.

키워드

참고문헌

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