Drivers Stress Identification in Real-World Driving Tasks

In the past few years, cross-modal distillation has garnered a lot of interest due to the rapid growth of multimodal data. In this paper, we study stress recognition of the drivers corresponding to the driving situation. Our method enables us to recognize stress from unlabeled videos. We perform cross-modal distillation based on wearable physiological sensors and videos from on-board cameras. In this cross-modal distillation, knowledge is transferred from sensor to vision modality.