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) |
Files in This Item:
File | Description | Size | Format | |
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FYP Yoga Pose detection report.pdf Restricted Access | 1.08 MB | Adobe PDF | View/Open |
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