Neural Modelling of Event Camera Streams for Biosignal Analysis
Masterarbeit
Event cameras, sometimes called neuromorphic cameras, are an alternative to regular frame-based cameras and have been applied in autonomic driving and drone control. In contrary, to frame-based cameras, they have a high dynamic range, can resolve small time intervals, and provide a sparse data representation. So far, their usefulness in medical applications has not been tested extensively.
Tasks:
• Estimate biosignals from event camera stream
• Continue measuring subjects based on existing measurement plan to create a dataset
• Develop a data representation suitable for machine learning
• Adapt existing deep learning architectures to the problem
• Data preparation and documentation for further research
