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Project # 21
Computer Vision-Based Meditation Movement Tracking System
| Team Lead: | Kushal Rijal |
| Other Team Members: | Sandesh Wagle |
| Faculty Advisor(s): | None |
| Department: | CSE |
| Project Type: | Other Undergraduate |
| Title: | Computer Vision-Based Meditation Movement Tracking System |
| Abstract: | Our project is a computer vision–based software system that tracks users’ movements (“moments”) and stores them for later analysis. The main goal is to monitor user movements while they are meditating and provide feedback on those moments and activities. This feedback helps users understand how their movements relate to focus during meditation and supports improving focus by learning from the tracked moments. The application is designed as an offline mobile app to ensure privacy and easy accessibility for users. Since the system works without an internet connection, user data remains on the device, making it more secure and convenient. Overall, this project combines computer vision and offline processing to support meditation practice by tracking user moments and providing meaningful feedback based on stored movement data. |
| Poster: | View Poster #21 (PDF) |
| Judges Scoring: | Submit Evaluation (judges only) |