Semantic parametric body shape estimation from noisy depth sequences

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In this paper, we present a novel method for real-time 3D hand pose estimation from single depth images using 3D Convolutional Neural Networks (CNNs). Image-based features extracted by 2D CNNs are not directly suitable for 3D hand pose estimation due to th ...

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Semantic parametric body shape estimation from noisy depth sequences

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Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

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Measuring upper limb function in children with hemiparesis with 3D inertial sensors

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