In the project, the next product generation for Human Behavior Modeling (HBM) is accompanied by multimodal sensor technology based on depth and thermal data. In order to achieve this goal, a method for the synthetic generation of multimodal training data as well as a corresponding multimodal HBM analysis software based on Deep Learning (CNNs) will be investigated.
