Daniele Berardini

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Pose Estimation

Autism Spectrum Disorder

Video Sequences

Top Venues

Multim. Tools Appl.

Comput. Biol. Medicine

Publications

Daniele Berardini, Lucia Migliorelli, Alessandro Galdelli, Emanuele Frontoni, Adriano Mancini, Sara Moccia
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras. Multim. Tools Appl. 83 (7) (2024)
Lucia Migliorelli, Daniele Berardini, Kevin Cela, Michela Coccia, Laura Villani, Emanuele Frontoni, Sara Moccia
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. Comput. Biol. Medicine 163 (2023)
Lucia Migliorelli, Daniele Berardini, Kevin Cela, Michela Coccia, Laura Villani, Emanuele Frontoni, Sara Moccia
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. CoRR (2023)
Lucia Migliorelli, Alessandro Cacciatore, Valeria Ottaviani, Daniele Berardini, Raffaele L. Dellacà, Emanuele Frontoni, Sara Moccia
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images. Medical Biol. Eng. Comput. 61 (2) (2023)
Lucia Migliorelli, Sara Moccia, Daniele Berardini, Emanuele Frontoni, Michela Coccia, Laura Villani, Andrea Bandini
A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy. EMBC (2023)
Carolina Gonçalves, João M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, Cristina P. Santos
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. Expert Syst. Appl. 228 (2023)
Carolina Gonçalves, João M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, Cristina P. Santos
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. CoRR (2023)
Daniele Berardini, Alessandro Galdelli, Adriano Mancini, Primo Zingaretti
Benchmarking of Dual-Step Neural Networks for Detection of Dangerous Weapons on Edge Devices. MESA (2022)
Alessandro Cacciatore, Lucia Migliorelli, Daniele Berardini, Simona Tiribelli, Stefano Pigliapoco, Sara Moccia
Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? ICIAP Workshops (2022)
Lucia Migliorelli, Daniele Berardini, Francesca Rossini, Emanuele Frontoni, Virginio Paolo Carnielli, Sara Moccia
Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation. EMBC (2021)
Daniele Berardini, Lucia Migliorelli, Sara Moccia, Marcello Naldini, Gioia De Angelis, Emanuele Frontoni
Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach. ISCC (2020)