8 papers
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…
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…
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…
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…