AI Fitness Coach at Home Using Image Recognition

Abstract

The COVID-19 pandemic has forced many people to exercise at home, leading to a surge in demand for effective and safe workout programs. However, traditional online exercise videos are often lacking in real-time feedback, which can compromise exercise safety and effectiveness. To address this issue, an AI-based fitness monitoring system, the AI Fitness Coach, has been developed to provide users with real-time guidance and advice to improve the quality of at-home exercise and reduce the risk of injury. The AI Fitness Coach system utilizes three key units-a pose recognition unit, a fitness movement analysis unit, and a feedback unit-to monitor and guide the user’s exercise routine in real-time. By processing images from a fixed camera, the system analyzes the user’s movements and provides feedback through either video or voice. This technology has been found to be highly effective in improving exercise quality at home, leading to enhanced performance and reduced risk of injury. This article provides an introduction to the AI Fitness Coach and explores its effectiveness and limitations. The methodology and technology presented in this study can offer new ideas and references for the development of future fitness monitoring systems. Despite the system’s impressive results, it has some limitations, such as its requirements for user posture and movement, which make it unsuitable for certain populations. Future research can focus on improving the system’s accuracy and applicability. In summary, the AI Fitness Coach is a promising technology that provides a safer and more effective way for people to exercise at home. It not only meets the growing demand for personalized fitness guidance during the pandemic but also offers new insights for the development of fitness monitoring systems. By enhancing the quality and safety of at-home exercise, the AI Fitness Coach has the potential to revolutionize the way people exercise and maintain their health in the future.