Personal details
Title | Differentiating Eating Behaviors Using Video-Based Mouth Movement Detection |
Description | Project Overview: Are you passionate about applying computer vision techniques to impactful health and nutrition research? This master’s thesis project builds on cutting-edge work in video-based mouth movement detection, initially developed for speech recognition. The aim is to extend this approach to identify and differentiate various eating behaviors, such as distinguishing between eating and drinking, classifying food textures (e.g., hard vs. soft), and estimating food or liquid consumption. By analyzing video data, this project aims to develop an advanced system for monitoring eating habits in both clinical and real-world settings. The system could revolutionize healthcare, dietary monitoring, and behavioral research by offering a non-invasive, automated method to track food intake. Opportunities:
Supervision: You will receive regular support from a team of experts. The project offers access to collaborative research resources and practical experience working with Raspberry Pi-based systems. How to Apply: Interested candidates should submit their CV, a brief statement of interest, and details of any relevant research experience to rebecca.diekmann@uni-oldenburg.de and martin.bleichner@uni-oldenburg.de. We look forward to hearing from you!
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Home institution | Department of Psychology |
Associated institutions |
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Type of work | practical / application-focused |
Type of thesis | Master's degree |
Author | Dr. Martin Georg Bleichner |
Status | available |
Problem statement | Key Objectives:
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Requirement | Candidate Profile:
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Created | 16/10/24 |