Pose Buddy: workout platform with MoveNet

• Main Author: Puttur Shreyas
• Other Authors: Owen Noel Newton Fernando
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Engineering; PoseBuddy
• Online Access: https://hdl.handle.net/10356/175428
• Institution: Nanyang Technological University

Health and physical fitness have perhaps never been more important to us as it is today. The Coronavirus outbreak in late 2019 has taught us that we must watch our well-being closely and be prepared to do so in the events of pandemics and social restrictions. With organisations adopting work-from-home policies and regulating the number of hours that employees spend in offices, individuals find themselves spending more time at home than before the pandemic. Given that stress and sedentary lifestyles are already prevalent, the importance of yoga for our physical and mental well-being cannot be understated. However, many individuals find it difficult to attend yoga classes, let alone regularly, due to location limitations, time constraints or financial reasons. Pose Buddy, a mobile application, aims to address these issues by providing a comprehensive platform that brings yoga teachings to the fingertips of its users. The application features a user-friendly interface, visual demonstrations, and robust machine learning algorithms to detect the accuracy of performing each yoga pose. It also allows yoga instructors and professionals to provide their own personal demonstrations to cater to all users, regardless of their experience or dexterity. By combining accessibility, convenience and instruction quality, Pose Buddy strives to promote holistic well-being and a deeper connection between mind, body, and spirit through the practice of yoga.