Group-aware comparison of classical machine learning and deep learning methods for sensor-based human activity recognition shows performance differences across modalities and datasets
Read the original at arxiv.org→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....
Original headline: "A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition"
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- Oct 20, 04:00 UTC arXiv cs.LG lead source A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition