Laboratory of Exercise and Health (De Bock group)Open OpportunitiesThis master’s thesis is dedicated to developing an advanced nutrition tracking system for hospitals, integrating QR-code recognition and structured light camera technology. The focus is to significantly enhance the precision of food volume measurements and patient meal tracking with machine learning, thereby improving nutritional monitoring accuracy. - Computer Vision, Medical and Health Sciences, Software Engineering
- Master Thesis
| This thesis aims to enhance food volume estimation in healthcare settings, a critical factor in patient nutrition management. The project involves developing a machine learning system capable of synthesizing 3D food images. The enhanced accuracy of volume estimations will be achieved through an expanded training set enriched with real-world food data from hospitals. This research, conducted by an ETH team, is poised to significantly impact patient care in facilities, particularly in addressing malnutrition. The initiative is not just academic but also a stepping stone towards a potential startup venture, emphasizing the project's practical applicability and future growth potential. - Computer Vision, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic
- Master Thesis
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