9 citations · 9 across the 6 of their papers we have counts for
8 papers
X-BCD: Explainable Sensor-Based Behavioral Change Detection in Smart Home Environments
Gabriele Civitarese, Claudio Bettini
Behavioral changes in daily life activities at home can be digital markers of cognitive decline. However, such changes are difficult to assess through sporadic clinical visits and…
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…
Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study
Claudio Bettini, Azin Moradbeikie, Gabriele Civitarese
Researchers in pervasive computing have worked for decades on sensor-based human activity recognition (HAR). Among the digital health applications, the recognition of activities of…
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…