65 citations · 126 across the 13 of their papers we have counts for
13 papers
WhoFi: Deep Person Re-Identification via Wi-Fi Channel Signal Encoding
Danilo Avola, Emad Emam, Dario Montagnini +2
Person Re-Identification is a key and challenging task in video surveillance. While traditional methods rely on visual data, issues like poor lighting, occlusion, and suboptimal an…
Augmented Reality in Cultural Heritage: A Dual-Model Pipeline for 3D Artwork Reconstruction
Daniele Pannone, Alessia Castronovo, Maurizio Mancini +5
This paper presents an innovative augmented reality pipeline tailored for museum environments, aimed at recognizing artworks and generating accurate 3D models from single images. B…
Bi-GRU Based Deception Detection using EEG Signals
Danilo Avola, Muhammad Yasir Bilal, Emad Emam +3
Deception detection is a significant challenge in fields such as security, psychology, and forensics. This study presents a deep learning approach for classifying deceptive and tru…
Benchmarking of EEG Analysis Techniques for Parkinson's Disease Diagnosis: A Comparison between Traditional ML Methods and Foundation DL Methods
Danilo Avola, Andrea Bernardini, Giancarlo Crocetti +5
Parkinson's Disease PD is a progressive neurodegenerative disorder that affects motor and cognitive functions with early diagnosis being critical for effective clinical interventio…
An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System
Danilo Avola, Giancarlo Crocetti, Gian Luca Foresti +3
This work explores the feasibility of biometric authentication using EEG signals acquired through in-ear devices, commonly referred to as ear-EEG. Traditional EEG-based biometric s…
Transformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations
Danilo Avola, Andrea Bernardini, Francesco Danese +4
Wi-Fi sensing is gaining momentum as a non-intrusive and privacy-preserving alternative to vision-based systems for human identification. However, person identification through wir…
Digital Shielding for Cross-Domain Wi-Fi Signal Adaptation using Relativistic Average Generative Adversarial Network
Danilo Avola, Federica Bruni, Gian Luca Foresti +2
Wi-Fi sensing uses radio-frequency signals from Wi-Fi devices to analyze environments, enabling tasks such as tracking people, detecting intrusions, and recognizing gestures. The r…
Autoencoder Models for Point Cloud Environmental Synthesis from WiFi Channel State Information: A Preliminary Study
Daniele Pannone, Danilo Avola
This paper introduces a deep learning framework for generating point clouds from WiFi Channel State Information data. We employ a two-stage autoencoder approach: a PointNet autoenc…
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application
Danilo Avola, Luigi Cinque, Alessio Fagioli +4
Taking medicines is a fundamental aspect to cure illnesses. However, studies have shown that it can be hard for patients to remember the correct posology. More aggravating, a wrong…
Analyzing EEG Data with Machine and Deep Learning: A Benchmark
Danilo Avola, Marco Cascio, Luigi Cinque +4
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from economics to biology. In general, these techniques can be used in two ways: trying t…
3D Hand Pose and Shape Estimation from RGB Images for Keypoint-Based Hand Gesture Recognition
Danilo Avola, Luigi Cinque, Alessio Fagioli +3
Estimating the 3D pose of a hand from a 2D image is a well-studied problem and a requirement for several real-life applications such as virtual reality, augmented reality, and hand…
Wi-Fi Passive Person Re-Identification based on Channel State Information
Danilo Avola, Marco Cascio, Luigi Cinque +1
With the increasing need for wireless data transfer, Wi-Fi networks have rapidly grown in recent years providing high throughput and easy deployment. Nowadays, Access Points (APs)…
The UMCD Dataset
Danilo Avola, Gian Luca Foresti, Niki Martinel +2
In recent years, the technological improvements of low-cost small-scale Unmanned Aerial Vehicles (UAVs) are promoting an ever-increasing use of them in different tasks. In particul…