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차량 AVN 제어를 위한 ToF 카메라 기반 제스처 인식 기술
황시환(Sihwan Hwang),서주찬(Juchan Seo),이용이(Yong Yi Lee) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
In this paper, we propose a gesture recognition system that enables motion-based AVN interaction using a low-cost ToF camera. The proposed method detects user’s hand postures from the depth map and tracks the posture in consecutive frames to recognize the hand gesture. We refine the raw depth data by removing noise and outlier to improve the robustness of the gesture recognition system. To evaluate the proposed method, we conduct the user study of gesture-based AVN interaction on the realvehicle and it shows robust performance for various users.