The invention discloses a real-time
posture correction feedback
system based on
computer vision, and relates to the technical field of
computer vision and health monitoring, the
system comprises the following components: a
computer vision acquisition module, a core index extraction module, a risk grading evaluation module, a prospective intervention scheme generation module and a multi-mode feedback module; a user posture image is captured in real time through the computer vision acquisition module, core posture indexes such as the
spine curvature, the pelvic inclination angle and the cervical
vertebra anteflexion angle are dynamically calculated in combination with the core index extraction module, and more importantly, the
system uses the risk grading evaluation module, based on a
time sequence risk evaluation algorithm and a user portrait, and the user posture index is evaluated. According to the method and the system, personalized threshold adjustment is realized, posture abnormity is accurately divided into three levels, namely a mild level, a
moderate level and a severe level, and the personalized and precise evaluation ensures that each user can obtain a
posture correction scheme which is most suitable for the user, so that the correction effect is improved.