Bosch IoT Lab

Open Opportunities

Data Science for Driver Health ETH Zurich Bosch IoT Lab 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

Master Thesis: Drivers’ emotions experience ETH Zurich Bosch IoT Lab You will explore the possibility for personalized in-car services of the future. Recently, we collected a unique dataset, consisting of recorded driving behavior in the wild. In the term of your master thesis, you will focus on finding patterns within this dataset to identify driver states. Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences Master Thesis

Bachelor/Master Thesis: Alcohol intoxication detection based on speech ETH Zurich Bosch IoT Lab Traffic accidents cause over a million deaths every year, of which a large fraction is attributed to drunk driving. We believe that voice-based detection systems are the natural way of inferring whether a driver is drunk and to reduce traffic accidents. Engineering and Technology, Information, Computing and Communication Sciences Bachelor Thesis, Master Thesis