9 citations · 11 across the 3 of their papers we have counts for
3 papers
Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition
Sannara Ek, Riccardo Presotto, Gabriele Civitarese +3
Human Activity Recognition (HAR) based on the sensors of mobile/wearable devices aims to detect the physical activities performed by humans in their daily lives. Although supervise…
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity
Riccardo Presotto, Sannara Ek, Gabriele Civitarese +3
The use of supervised learning for Human Activity Recognition (HAR) on mobile devices leads to strong classification performances. Such an approach, however, requires large amounts…
Context-driven Active and Incremental Activity Recognition
Gabriele Civitarese, Riccardo Presotto, Claudio Bettini
Human activity recognition based on mobile device sensor data has been an active research area in mobile and pervasive computing for several years. While the majority of the propos…