Abstract:
Weight training as a fitness regimen has been trending among people across all age groups and genders. It is an effective way to improve physical well-being. Despite the ...Show MoreMetadata
Abstract:
Weight training as a fitness regimen has been trending among people across all age groups and genders. It is an effective way to improve physical well-being. Despite the various health benefits associated with weight training, improper execution can lead to ineffective results or injuries in the worst-case scenario. The paper introduces an application called “Enhanced Form Checker”, which uses a model comprising four Long-Short Term Memory models, collectively referred to as “Quadra-LSTM”, in conjunction with a Large Language Model. The Enhanced Form Checker utilizes video footage captured by a closedcircuit television camera to offer real-time feedback to users. Through the Quadra-LSTM, the correctness of the exercise form is evaluated, while the Large Language Model provides users with detailed feedback for any detected mistakes during the exercise. The proposed Enhanced Form Checker achieved an accuracy of 95.5%. The paper also provides a comparison between the Enhanced Form Checker and a model proposed in a previous study.
Published in: 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
Date of Conference: 26-28 August 2024
Date Added to IEEE Xplore: 30 October 2024
ISBN Information: