 Bosch IoT LabOpen OpportunitiesWe aim to detect critical health states based on smartwatch data during driving or in the field. For this purpose, we built an open-source python package for time series data to obtain features for machine learning models. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| Remote heart rate estimation is a hot topic that facilitates user status monitoring in the era of smart home/cars/workplaces. Existing methods relying on PPG can only achieve undesirable performance. In light of existing challenges, we proposed a facial expression based heart rate estimation. - Artificial Intelligence and Signal and Image Processing, Electrical and Electronic Engineering, Information Systems
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| With a unique dataset of driving data we want to answer questions related to physiological driver health. We thus want to design a comprehensive data analytics pipeline based on one or more of the data streams. This includes preprocessing and analysis as well as building machine learning models. - Decision Support and Group Support Systems, Health Information Systems (incl. Surveillance), Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- Master Thesis
| We investigate the potential of novel digital gas sensors (e.g., Bosch BME688) to detect hypoglycemia-related changes in the air one breathes analogous to how a diabetes companion dog would do. For this purpose, we have set up a real-world data collecting setup with individuals with diabetes. - Artificial Intelligence and Signal and Image Processing, Health Information Systems (incl. Surveillance)
- Bachelor Thesis, Internship, Master Thesis, Semester Project
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