Abstract
Within the context of health informatics, this article discusses how real-time information of human skeleton movements can be conveniently captured via the use of Kinect-based deep sensor. It highlights an effective action recognition method, using Unity3D to form virtual models of characters and scenes. Kinect somatosensory cameras can now identify one's motion data and provide feedback on the virtual role model to complete the avatar drive. This is to achieve real-time simulation modeling as well as drive operation instructions based on the design and identification verification to complement limb rehabilitation. The hardware of such a health informatics-related system is simple, inexpensive, and highly meaningful in term of augmenting user experience. In conclusion, the suggested approach can contribute significantly towards aiding physical rehabilitation therapy
Published Version
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