The project “DeepSpoMed – Novel evaluation of thermographic camera data using neural networks” is part of the cooperation project “Innovative sports medicine performance diagnostics based on a novel evaluation of thermographic camera data using neural networks – InnoSpoMed”.
The project is a collaboration between
The project is funded by the Federal Ministry for Economic Affairs and Energy (BMWi) as part of the “Central Innovation for SMEs” (ZIM) funding program.
Intra-university research funding level I – Johannes Gutenberg University Mainz.
Focus: Adaptation of the methodology to bicycle stress tests with the help of preliminary work.
Intra-university research funding level I – Johannes Gutenberg University Mainz.
Focus: Automatic data labeling with the help of a multimodal stereo system.
Federal Ministry for Economic Affairs and Energy (BMWi) (“Zentrale Innovation Mittelstand”, ZF4211603GR9)
Focus: Development of a thermogram processing pipeline and creation of AI models to recognize body parts and blood vessel structures.
Intra-university research funding level I – Johannes Gutenberg University Mainz.
Focus: Evaluation of existing computer vision methods and proof of concept for the detection of blood vessel structures in thermograms.
