Bosch IoT Lab

Open Opportunities

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

Semester/Master Thesis: In-vehicle Driver Emotion Recognition ETH Zurich Bosch IoT Lab Awareness of driver emotions facilitates intelligent automobile applications that improve driver comfort, well-being and safety. Automotive manufacturers such as Mercedes have developed tools to improve the emotional state of a driver via built-in comfort systems such as massage, fragrance, music, ionisation of the air in the cabin. Ridesharing companies (such as Uber, Didi) are improving quality of service by monitoring the mental status of their drivers. Recognition of driver emotion is gaining momentum in both academia and industries. Artificial Intelligence and Signal and Image Processing, Electrical and Electronic Engineering Bachelor Thesis, Master Thesis, Semester Project

Semester/Master Thesis: GAN Based Data Synthesis for the Detection of Emotion Anomaly ETH Zurich Bosch IoT Lab Awareness of driver emotions facilitates intelligent automobile applications that improve driver comfort, well-being and safety. Automotive manufacturers such as Mercedes have developed tools to improve the emotional state of a driver via built-in comfort systems such as massage, fragrance, music, ionisation of the air in the cabin. Ridesharing companies (such as Uber, Didi) are improving quality of service by monitoring the mental status of their drivers. Recognition of driver emotion is gaining momentum in both academia and industries. Artificial Intelligence and Signal and Image Processing, Electrical and Electronic Engineering Bachelor Thesis, Master Thesis, Semester Project

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