New research in this featured IEEE Access article highlights that smartphone-based Human Activity Recognition (HAR) shows that Self-Supervised Learning (SSL) can outperform traditional supervised models, even with limited labeled data: ieeexplore.ieee.org/document/114...
Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To address label...
