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• W201697742 abstract "Joint advent of affordable color and depth sensors and super-realtime skeleton detection, has produced a surge of research on Human Motion Capture. They provide a very important key to communication between Man and Machine. But the design was willing and closed-loop interaction, which allowed approximations and mandates a particular sensor setup. In this paper, we present a multiple sensor-based approach, designed to augment the robustness and precision of human joint positioning, based on delayed logic and filtering, of skeleton detected on each sensor." @default.
• W201697742 created "2016-06-24" @default.
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• W201697742 date "2013-01-01" @default.
• W201697742 modified "2023-09-30" @default.
• W201697742 title "Human Motion Capture Using Data Fusion of Multiple Skeleton Data" @default.
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• W201697742 doi "https://doi.org/10.1007/978-3-319-02895-8_12" @default.
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