UMSNet: An Universal Multi-sensor Network for Human Activity Recognition. (arXiv:2205.11756v1 [cs.CV])

Human activity recognition (HAR) based on multimodal sensors has become a
rapidly growing branch of biometric recognition and artificial intelligence.
However, how to fully mine multimodal time series data and effectively learn
accurate behavioral features has always been a hot topic in this field.
Practical applications also require a well-generalized framework that can
quickly process a variety of raw sensor data and learn better feature
representations. This paper proposes a universal multi-sensor network (UMSNet)
for human activity recognition. In particular, …

arxiv cv human network sensor