Open access
2026
A Systematic Analysis of In-Domain and Out-of-Domain Strategies for Self-Supervised Learning in HAR
Self-Supervised Learning (SSL) has emerged as a promising approach in Human Activity Recognition (HAR) by mitigating the need for large volumes of labeled data. However, the impact of pre-training data composition still requires in-depth investigation. This work analyzes data composition strategies in SSL, comparing th...
Betania E. R. Da Silva, Darlinne H. P. Soto, Anderson R. Rocha et al.
· IEEE Access · 0 citations