63 citations · 102 across the 7 of their papers we have counts for
7 papers
A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths
Rosanna Coccaro, Enrico Ferrentino, Antonio Parziale +2
As human-robot interaction rapidly spreads in numerous fields, the subject of robot acceptance gains increasing importance. Visual similarity to the human body, as occurs for human…
Writing Order Recovery in Complex and Long Static Handwriting
Moises Diaz, Gioele Crispo, Antonio Parziale +2
The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of comp…
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification
Antonio Parziale, Moises Diaz, Miguel A. Ferrer +1
Building upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements pe…
Temporal evolution in synthetic handwriting
Cristina Carmona-Duarte, Miguel A. Ferrer, Antonio Parziale +1
New methods for generating synthetic handwriting images for biometric applications have recently been developed. The temporal evolution of handwriting from childhood to adulthood i…
Machine Learning for Health symposium 2023 -- Findings track
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam +5
A collection of the accepted Findings papers that were presented at the 3rd Machine Learning for Health symposium (ML4H 2023), which was held on December 10, 2023, in New Orleans,…
I Can't Believe It's Not Better: In-air Movement For Alzheimer Handwriting Synthetic Generation
Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio +3
During recent years, there here has been a boom in terms of deep learning use for handwriting analysis and recognition. One main application for handwriting analysis is early detec…
Machine Learning for Health symposium 2022 -- Extended Abstract track
Antonio Parziale, Monica Agrawal, Shalmali Joshi +4
A collection of the extended abstracts that were presented at the 2nd Machine Learning for Health symposium (ML4H 2022), which was held both virtually and in person on November 28,…