Pose and hand-detection yoga web application

• Main Author: Muhammad Shariff Kenzo Bin Sahul Hameed
• Other Authors: Kong Wai-Kin, Adams
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Yoga
• Online Access: https://hdl.handle.net/10356/175246
• Institution: Nanyang Technological University

This final year project takes a look at the business prospect of yoga and how it can alleviate stress amongst Singaporeans. In order for yoga to be made more accessible and encouraged amongst Singaporeans, a web application that tracks users’ yoga poses and gives feedback to them will be designed and implemented. This can be accomplished by using pose-detection and hand-detection models which will do the inference on the backend server with the help of cloud computing, while a front-end website will be developed to communicate and interact with the user. Throughout the development of both the front-end and back-end, considerations such as low latency, obfuscating sensitive code and logic, and user-friendliness will be considered and implemented