7 citations · 9 across the 5 of their papers we have counts for
5 papers
Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition
Michele Fiori, Gabriele Civitarese, Claudio Bettini
Recognizing daily activities with unobtrusive sensors in smart environments enables various healthcare applications. Monitoring how subjects perform activities at home and their ch…
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…
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Luca Arrotta, Gabriele Civitarese, Claudio Bettini
Deep Learning models are a standard solution for sensor-based Human Activity Recognition (HAR), but their deployment is often limited by labeled data scarcity and models' opacity.…
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning
Luca Arrotta, Gabriele Civitarese, Samuele Valente +1
Supervised Deep Learning (DL) models are currently the leading approach for sensor-based Human Activity Recognition (HAR) on wearable and mobile devices. However, training them req…
Extended Report: Fine-grained Recognition of Abnormal Behaviors for Early Detection of Mild Cognitive Impairment
Daniele Riboni, Claudio Bettini, Gabriele Civitarese +2
According to the World Health Organization, the rate of people aged 60 or more is growing faster than any other age group in almost every country, and this trend is not going to ch…