• Camera imaging (RGB,IR,Depth)
• Sensor fusion for vital sign estimation
• Machine learning and computer vision

Maurice Rohr received his Master of Science degree in electrical engineering from the Department of Electrical Engineering and Information Technology, Technische Universität Darmstadt, Germany, in 2020. He specialized in automation and control and conducted his master thesis on „Lymph Node Navigation in the Head and Neck Area Using 3D Ultrasound Images“.

Since 2021 he is research assistent at KIS*MED, where his studies focus on camera-based techniques for vital-sign estimation and sensor fusion.

• Photophlethysmography Imaging Demonstrator and Evaluation
• Simulation of environmental effects on camera based techniques for vital sign measurement

Google Scholar (external)