EdgeHAR: Compact Sensor Foundation Model for On-Device Human Activity Recognition
Researchers present EdgeHAR, a compact foundation model for sensor-based human activity recognition that is built to run on edge devices rather than in the cloud. The work targets common real-world problems such as shifts in sensing conditions, including unfamiliar users and devices. It is described as an edge-native approach to wearable and ubiquitous computing.