Coding of Multimodal Body Hull Data (B01)

• Subject Area: Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 442419336

The aim of the subproject is to develop a source coding method for multimodal body hull data, which allows an efficient transmission of the human body hull including its motion. For coding, the spatial correlation of depth signals, the temporal coherence of human motion and the joint dependencies between microdoppler aperture synthesis radar data and depth signals will be used. Depending on the reconstruction accuracy required for the biomechanical and psychomotoric applications in the CRC a reduction of the data volume by at least two orders of magnitude is expected.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1483: Empathokinaesthetic Sensor Technology – Sensor Techniques and Data Analysis Methods for Empathokinaesthetic Modeling and Condition monitoring
• Applicant Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
• Project Head: Professor Dr.-Ing. André Kaup