Arm Orientation Estimation Method with Multiple Devices for NUI/NUX
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초록
Motion estimation is a key Natural User Interface/Natural User Experience (NUI/NUX) technology to utilizemotions as commands. HTC VIVE is an excellent device for estimating motions but only considers thepositions of hands, not the orientations of arms. Even if the positions of the hands are the same, the meaningof motions can differ according to the orientations of the arms. Therefore, when the positions of arms aremeasured and utilized, their orientations should be estimated as well. This paper proposes a method forestimating the arm orientations based on the Bayesian probability of the hand positions measured in advance. In experiments, the proposed method was used to measure the hand positions with HTC VIVE. The resultsshowed that the proposed method estimated orientations with an error rate of about 19%, but the possibilityof estimating the orientation of any body part without additional devices was demonstrated.
Abstract
Motion estimation is a key Natural User Interface/Natural User Experience (NUI/NUX) technology to utilizemotions as commands. HTC VIVE is an excellent device for estimating motions but only considers thepositions of hands, not the orientations of arms. Even if the positions of the hands are the same, the meaningof motions can differ according to the orientations of the arms. Therefore, when the positions of arms aremeasured and utilized, their orientations should be estimated as well. This paper proposes a method forestimating the arm orientations based on the Bayesian probability of the hand positions measured in advance. In experiments, the proposed method was used to measure the hand positions with HTC VIVE. The resultsshowed that the proposed method estimated orientations with an error rate of about 19%, but the possibilityof estimating the orientation of any body part without additional devices was demonstrated.
참고문헌 (10)
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