Browsing by Author "ADITYA NH : AMAN TEWARI : JYOTHSNA N"

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    Fitness Trainer using Machine Learning and Computer Vision
    (NHCE, 2022) ADITYA NH : AMAN TEWARI : JYOTHSNA N
    Good physical fitness has become the need of the hour in an era where it is easy to obtain anything without involving much physical activity. Exercises can be easily found and performed; however, they need to be done with the correct posture to maximize its effectiveness. When not done properly, it can cause injury, pain, be overall ineffective and a waste of time. Posture recognition is a difficult task as it is done on a real time basis. Detection needs to be fast and accurate. Today, many data-sets are available to aid this cause along with a host of machine learning models. This project aims to use a neural network to train a model on a self-created data-set. An attempt has been made to create a web-based application that allows users to learn and practice yoga poses with the help of their internet browser and webcam. A database has been created that is subsequently trained using a neural network. The model is then deployed, and computer vision is utilized to create a skeleton of the user performing the poses. It is then possible to accurately classify the pose. The entire classification process happens within the browser of the user and no additional hardware or software is required. This project further aims to encourage and motivate users towards better fitness by engaging them in simple challenges.