Wini Ebelin Quispe Bautista

Human Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offs

The findings show that accelerometers, gyroscopes, inertial measurement units, smartphones, smartwatches, and wearable sensors are the dominant data sources for HAR at the edge and a gradual shift from accuracy-centered evaluation toward deployment-aware assessment, incorporating latency, inference time, energy consump...