260 citations · 287 across the 2 of their papers we have counts for
2 papers
eess.SP2019★ 27 cited
Deep Learning Techniques for Improving Digital Gait Segmentation
Matteo Gadaleta, Giulia Cisotto, Michele Rossi +3
Wearable technology for the automatic detection of gait events has recently gained growing interest, enabling advanced analyses that were previously limited to specialist centres a…
cs.CV2016★ 260 cited
IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks
Matteo Gadaleta, Michele Rossi
Here, we present IDNet, a user authentication framework from smartphone-acquired motion signals. Its goal is to recognize a target user from their way of walking, using the acceler…