4 papers
Improving Zero-shot ADL Recognition with Large Language Models through Event-based Context and Confidence
Michele Fiori, Gabriele Civitarese, Marco Colussi +1
Unobtrusive sensor-based recognition of Activities of Daily Living (ADLs) in smart homes by processing data collected from IoT sensing devices supports applications such as healthc…
The SERENADE project: Sensor-Based Explainable Detection of Cognitive Decline
Gabriele Civitarese, Michele Fiori, Andrea Arighi +3
Mild Cognitive Impairment (MCI) affects 12-18% of individuals over 60. MCI patients exhibit cognitive dysfunctions without significant daily functional loss. While MCI may progress…
Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation
Michele Fiori, Gabriele Civitarese, Priyankar Choudhary +1
Explainable Artificial Intelligence (XAI) aims to uncover the inner reasoning of machine learning models. In IoT systems, XAI improves the transparency of models processing sensor…
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes
Michele Fiori, Davide Mor, Gabriele Civitarese +1
Sensor-based Human Activity Recognition (HAR) in smart home environments is crucial for several applications, especially in the healthcare domain. The majority of the existing appr…