AI motion based smart hometraining platform

An AI motion recognition based smart hometraining platform for enhancing mild cognitive impairment, comprising:

• a photographing unit photographing a motion of a user and generating an motion image;
• an motion image generation unit generating a frame-specific image (image, Ik, k=0, −1, −2, . . . , k represents a discrete time) from the motion image at a predetermine time interval (e.g., ΔT1=1/1˜10 sec, for each frame);
• a joint information generation unit extracting a joint point for each frame based on the user image, and generating positional information (2D coordinates or 3D coordinates (Xki, Yki, Zki)) of each joint point;
• a deep learning determination unit determining whether the user motion is suitable by inputting user joint information generated by the joint information generation unit by using a prelearned deep learning determination model M with joint information of multiple users for a corresponding training motion as learning data;
• a correction information generation unit extracting correction information by comparing joint information of a trainer motion (a model motion for each type) and the joint information of the user motion, and generating an image for a correction image or correction information based on the extracted correction information;
• a user image generation unit generating a user image acquired by overlaying a joint information image of the joint information generation unit to the user image;
• and
• a display displaying both the image for the correction message or the correction information generated by the correction information generation unit and the user image of the user image generation unit in the display.