current
Course Fundamentals of Programming for Digital Health
Course Data Engineering for Wearables
Bachelor Project Neurohub
Master Project Rhythm Breaks
past
Bachelor Projects
- 2024/25 Smartclothing
- 2023/24 ClearRisk
- 2022/23 Biofeedback Module for SensorHub
- 2021/22 Sensor-based Nursing Activity App
- 2020/21 Tracking Behavior and Eating Habits
- 2019/20 SensorHub
Master Projects
- 2025/SS FedEHR-Bench: A Comprehensive Benchmarking Framework for Distributed ML on EHRs
- 2024/25 Coding Rhythms: Physiological Insights Into Software Development
- 2024/SS Code With the Flow
- 2023/24 Two Hearts, One Rhythm?
- 2022/23 Deep Learning Data Generation for Medical Prediction Systems
- 2022/SS Dr. AI - The Model Will See You Now!
- 2021/22 Human Emotion and Activity Classification Using Brain Activity Sensors
- 2021/SS Forecasting Alarms in Intensive Care Units
- 2020/21 Preventive Maintenance for Patients
- 2020/SS What Can Your Smartwatch Tell You about Your Mental Health?
- 2019/20 Learn to Move Like a Pro
Master's Theses
2025
- Annemarie Uhlig: Analysis of Software Developers' Cognitive Load with Machine Learning
- Fabian Georgi: Comparative Analysis of Research and Consumer Wearable Devices in Everyday Activities
2024
2023
- Samik Real Enrı́quez: Fighting Label Scarcity: Semi-automated human-in-the-loop label generation for automated stress and mental workload classification for uncontrolled environments
- Sai Siddhant Gadamsetti: Development and Validation of a Multimodal Data Acquisition and Analysis Platform for Assessing Workplace Stress in Group Settings
- Ipsita Bhaduri: Detection of mental workload and stress in realistic settings from multi-modal physiological signals
- Karuna Baswal: Synthetic continuous glucose time series
- Carla Terboven: Air Quality Sonification Using a Simulated Scripted Exposure Design
- Alisher Turubayev: Analysis of Machine Learning and Deep Learning Models for Estimating Cognitive Load from Physiological Data in Software Development Contexts
- Lennard Ekrod: Visualization and Quantification Approach of IMU-Derived Stroke Gait Analysis
- Jonas Noack: Fitting Monocular Image to 3D Pose Models to Gait Analysis
- Tibor De Camargo: A Point Cloud Data Analysis System for Cruciate Ligament Rupture Using 3D Camera
2022
- Franziska Schumann: Online Learning for EEG-based Emotion Classification
- Denise Schmidt: Towards Smart Alarm Thresholds in Medical Patient Monitors
2021
- Tillmann Int-Veen: Computer-assisted Lifestyle: Enabling Personalized Intermittent Fasting
- Joceline Ziegler: Privacy-Preserving Classification of X-Ray Images in a Federated Learning Setting
- Arne Herdick: Predicting Fatigue in Strength Training using Machine Learning on IMU and HRV Data
- Wiktoria Staszak: Analysis of Mealtime Bolus Behaviors of Users of the Open Artificial Pancreas System (OpenAPS) with Type 1 Diabetes
- Fabian Stolp: Active Learning in Personalized OCD Recognition
- Lando Löper: Personalised Sensor-Based OCD Detection Using Federated Learning
- Pawel Glöckner: Generation of Synthethic Pose Data using Generative Adversarial Networks
- Justin Trautmann: IMU-Based Gait Analysis for Treadmill Walking
2020
- Martin Schlegel: Activity Recognition in the Context of Obsessive-Compulsive Disorder Detection
- Christoph Anders: Data Preprocessing Methods for Time Series Classification on Brain Activity Data
- Justus Eilers: Development of a Standard to Qualitatively Assess QRS Detectors
- Pit Mario Wegner: IMU-Based Trajectory Image Classification for Human Activity Recognition
- Felix Musmann: A Web Plattform for Analysing Multimodal Sensor Data in the Context of Digital Health