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 Unity 3D 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. Traditionally, rehabilitation medicine entails the deployment of either man-assisted and/or robot-aided rehabilitation methods to enhance the physical functioning of individuals affected by illnesses or injuries with the goal of minimizing any preventable activity-related impairment. With a growing shortage of medical resources, the rising cost of specialty medical equipment, and its high maintenance costs, a call for new inexpensive means of rehabilitation medicine is highly advocated. One of these innovations is the design of intelligent human-computer interaction (HCI) within the emerging health informatics context.
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