Image-Based Fitness Guidance and Recording System

Abstract

This study proposes a fitness guidance and recording system design based on computer vision, aiming to provide users with personalized, real-time and efficient fitness guidance and training, as well as dietary record services through advanced computer vision algorithms. The system integrates a variety of technologies such as image processing, action recognition and body analysis, which can automatically capture the movement posture of users in the process of fitness, and compare it with the standard action library, so as to accurately evaluate the accuracy of action and provide immediate feedback and suggestions. At the same time, the system can feed back the user's diet and nutrition matching suggestions according to the user's dietary records, body data and training goals, and develop a personalized diet plan for the user. The development of this system can solve the problems existing in the traditional way of fitness guidance, and increase dietary guidance and record module, fitness is to provide a full range of support. At the same time, the research and development of this system can provide new ideas and methods for the research in the field of fitness, and promote the development and innovation of related technologies.