IoT4Care
Graziano Pravadelli
Full Professor
Research interests
Embedded and cyber-physical systems · Semi-formal verification · Internet of Medical Things · Human activity recognition · Virtual coaching systems
Graziano Pravadelli is Full Professor of Information Processing Systems at the Department of Engineering for Innovation Medicine of the University of Verona. His research bridges embedded-system design and verification with IoT technologies for health and assisted living, and he is one of the founders of the IoT4Care research line.
On the systems side, his work includes semi-formal and assertion-based verification of hardware/software systems, design methodologies for embedded and cyber-physical platforms, simulation, testing and runtime analysis. He has also worked on reconfigurable systems and design automation, often with the objective of detecting incorrect behaviour early and making complex embedded systems easier to validate.
In IoT4Care, those engineering methods are applied to human activity recognition, wearable and wireless sensing, virtual coaching and digital health. Research with his group has addressed daily-life assistance, low-cost body-area networks, BLE and WiFi sensing, contactless mmWave monitoring, fall detection and quantitative analysis of Parkinsonian motor symptoms. The common goal is to turn sensing and embedded intelligence into systems that can operate outside tightly controlled laboratory settings while remaining practical, interpretable and verifiable enough for health-related applications.
Graziano is also a co-founder of EDALab, a University of Verona spin-off working on embedded software and IoT-based solutions.
Projects
Smart-Pump
Smart-Pump: Intelligent assistive system to regulate the continuous administration of drugs in Parkinson’s patients.
A Veneto FSE project combining motor-symptom monitoring and intelligent assistance to support more personalised continuous drug administration for people with Parkinson’s disease and give clinicians a richer view of treatment response.
Bip-Bip
Bip-Bip: a wearable smart system to prevent freezing of gait in people affected by Parkinson’s disease.
A Veneto FSE research project on wearable sensing and machine-learning support for anticipating freezing of gait in Parkinson’s disease, with the goal of triggering assistance before or during a freezing episode.
ADA
ADA: An IoT-based virtual coaching platform for assisting daily life activities of ageing persons with Down syndrome.
A multidisciplinary IoT and virtual-coaching project for supporting autonomy and healthy ageing in people with Down syndrome, combining unobtrusive smart objects, personalised data analytics and daily-life coaching.
Publications
2025
2024
Artifact: WirelessEye - Seeing over WiFi Made Accessible
PerCom Workshops
Environmental Microchanges in WiFi Sensing
DATE
ICT-Based Solutions for Alzheimer's Disease Care: A Systematic Review
IEEE Access
SN Comput. Sci.
WirelessEye - Seeing over WiFi Made Accessible
PerCom Workshops
2023
A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition
CoRR
IEEE Trans. Emerg. Top. Comput.
Fostering Human Activity Recognition Workflows: An Open-Source Baseline Framework
ICDH
Non-Invasive Monitoring of Alzheimer's patients through WiFi Channel State Information
IWASI
Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments
DATE
2022
A freely available system for human activity recognition based on a low-cost body area network
COMPSAC
A virtual coaching platform to support therapy compliance in obesity
COMPSAC
ISoLA
Practical identity recognition using WiFi's Channel State Information
DATE
WifiEye - Seeing over WiFi Made Accessible
CoRR
2021
2020
From Informal Specifications to an ABV Framework for Industrial Firmware Verification
VLSI-SoC
IEEE Access
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients
EMBC
Mangrove - An Inference-Based Dynamic Invariant Mining for GPU Architectures
IEEE Trans. Computers
MIST - monitor generation from informal specifications for firmware verification
VLSI-SOC
Toward a Wearable System for Predicting Freezing of Gait in People Affected by Parkinson's Disease
IEEE J. Biomed. Health Informatics
News
Publication
Multi-sensor soft labeling for human activity recognition at DATE 2026
Graziano Pravadelli and collaborators presented a multi-sensor approach to soft labeling for human activity recognition at DATE 2026.
Publication
Edge-cloud verification for robotic applications
A 2026 ACM TECS article by Nicola Bombieri, Graziano Pravadelli and collaborators studies edge-cloud orchestration of assertion-based monitors for robotic applications.

