A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition

arXiv:2610.23941v1 Announce Type: new Abstract: Human Activity Recognition (HAR) using wearable or smartphone inertial sensors is commonly evaluated with both classical machine learning and deep learning methods. However, reported performance can be strongly affected by sensor modality, dataset cha…

Read the full story at arXiv cs.LG ↗

Timeline · 1 report

1. 2026-10-20 04:00 · arXiv cs.LG
   A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition