A Review on: Body Posture Detection and Motion Tracking using AI for Exercise

. Exercises that include physical activity are quite important in our day-to-day lives, and this is especially true for patients who are in the midst of the healing process and require their bodies to recover more quickly. As a direct result of this particular circumstance, the relevance of physical activity in our lives has grown. The enhancement of human capabilities and the extension of human lifespans are both made possible by them as the essential premise. The utilization of Artificial Intelligence and Image Processing has the potential to improve and supplement the process of working out, hence removing the necessity for the supervision of fitness professionals. During your training session, a motion tracker that is powered by software can not only monitor and record all of the exercises that you have completed, but it can also provide feedback on how your body is aligned. It is anticipated that the favorable efficiency of the activity would be improved by the utilization of computational data and analysis. Because of the nature of this application, the MediaPipe architecture could be utilized. In this machine learning model, points are plotted at various joints of the human body posture. The movement is then captured, stored, and evaluated once it has been recorded. This in-depth investigation of body tracking might be applied in the construction of an application that could monitor the medical exercise routine of a user who has registered for the program. It is possible that the programming might be improved such that it enables registered users to be connected with verified physicians who have access to the diagnostic reports and exercise history of the patients who correspond to them through databases. .