9 citations · 15 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
Gabriele Civitarese, Michele Fiori, Priyankar Choudhary +1
The sensor-based recognition of Activities of Daily Living (ADLs) in smart home environments enables several applications in the areas of energy management, safety, well-being, and…
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…
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
Luca Arrotta, Claudio Bettini, Gabriele Civitarese +1
Context-aware Human Activity Recognition (HAR) is a hot research area in mobile computing, and the most effective solutions in the literature are based on supervised deep learning…