Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition

arXiv:2404.16005v1 Announce Type: new
Abstract: Combining different sensing modalities with multiple positions helps form a unified perception and understanding of complex situations such as human behavior. Hence, human activity recognition (HAR) benefits from combining redundant and complementary information (Unimodal/Multimodal). Even so, it is not an easy task. It requires a multidisciplinary approach, including expertise in sensor technologies, signal processing, data fusion algorithms, and domain-specific knowledge. This Ph.D. work employs sensing modalities such as inertial, pressure (audio and atmospheric pressure), and …

abstract arxiv behavior benefits cs.lg easy eess.sp form fusion human information multimodal multiple perception recognition sensing sensor type understanding wearable