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사람과 기계의 상호작용을 위한 모션-스피어 궤적 데이터기반 동적제스처 인식 시스템
류재영(Jae Yeong Ryu),아디띠야 비(Adithya Balasubramanyam),아쇽 쿠말(Ashok Kumar Patil),바라테시(Bharatesh Chakravarthi),채영호(Young Ho Chai) 대한기계학회 2020 대한기계학회 춘추학술대회 Vol.2020 No.12
Motion-sphere is a technique to visualize a human motion. The Motion-sphere can express subtle motion accurately, thereby it can be an efficient tool for gesture recognition system. The system enables the human-machine interface. The current work proposes a gesture recognition system using a series of motion data as a trajectory, on a Motion-sphere. Unlike the use of skeletal or position data for motion recognition, the proposed work uses the trajectory data. In this study, we compare the existing gesture recognition system that uses 3D positions against the proposed Motion-sphere based system. In the 3D position data-base, Dynamic Time Warping(DTW) algorithm is applied to compare the sequence of motion by extracting keyframes. In 3D trajectory data, Levenshtein Distance on Trajectories(LDT) algorithm is used and no separate keyframe extraction is followed. The results of the experiment show that the Motion-sphere based system exhibits higher accuracy due to quantification of subtle body motions.