Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/175246
Title: Pose and hand-detection yoga web application
Authors: Muhammad Shariff Kenzo Bin Sahul Hameed
Keywords: Computer and Information Science
Issue Date: 2024
Publisher: Nanyang Technological University
Source: Muhammad Shariff Kenzo Bin Sahul Hameed (2024). Pose and hand-detection yoga web application. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175246
Abstract: 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
URI: https://hdl.handle.net/10356/175246
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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