10 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…
DomusFM: A Foundation Model for Event-Based Behavioral Monitoring in Smart-Homes
Michele Fiori, Gabriele Civitarese, Flora D. Salim +1
Smart-home sensor-based behavioral monitoring holds significant potential for healthcare, independent living, and early detection of functional or cognitive changes. In this settin…
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…
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…
Personalized Semi-Supervised Federated Learning for Human Activity Recognition
Riccardo Presotto, Gabriele Civitarese, Claudio Bettini
One of the major open problems in sensor-based Human Activity Recognition (HAR) is the scarcity of labeled data. Among the many solutions to address this challenge, semi-supervised…
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…