Body Posture Recognition And Fitness Training
Chetana B. Thaokar, Vinay V. Dongre, Himanshu H. Hiware, Hrushikesh D. Dagwar · 2023
This innovative research introduces a multifaceted approach to tackle the prevalent health challenges arising from today’s sedentary lifestyle. Its core focus is twofold: first, employing cutting-edge technology and machine learning algorithms that leverage computer vision techniques to perform real-time body posture detection with exceptional precision. This process involves identifying various body positions and thoroughly evaluating the alignment and angles of crucial body parts, enabling the system to provide users with immediate, insightful feedback on their posture, along with recommendations to rectify any deviations. Second, the research offers a holistic solution by providing personalized fitness training modules that cater to the individual needs of users. These modules are uniquely tailored, taking into account the user’s specific fitness goals, current fitness level, and personal preferences. The result is a comprehensive fitness experience that includes targeted exercises and workout routines designed to address posture issues, strengthen muscles, and enhance overall fitness. This personalized approach ensures that each user receives guidance aligned with their fitness aspirations, ultimately contributing to their overall health and well-being in the face of the sedentary lifestyles that have become increasingly prevalent in today’s society. By effectively merging posture correction and individualized fitness training, this research offers a promising path to mitigating the health risks associated with our modern way of life, enhancing the overall quality of life for individuals who may otherwise be adversely affected by the sedentary nature of their daily routines.