no code implementations • 23 Jan 2023 • Elisa Donati, Simone Benatti, Enea Ceolini, Giacomo Indiveri
Here we propose a novel statistical method based on canonical correlation analysis (CCA) that stabilizes EMG classification performance across multiple days for long-term control of prosthetic devices.
no code implementations • 19 Oct 2019 • Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati
The discrimination of human gestures using wearable solutions is extremely important as a supporting technique for assisted living, healthcare of the elderly and neurorehabilitation.
1 code implementation • 29 Sep 2019 • Yi Luo, Enea Ceolini, Cong Han, Shih-Chii Liu, Nima Mesgarani
Beamforming has been extensively investigated for multi-channel audio processing tasks.
2 code implementations • ICLR 2018 • Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross
Understanding the flow of information in Deep Neural Networks (DNNs) is a challenging problem that has gain increasing attention over the last few years.
no code implementations • ICLR 2018 • Stefan Braun, Daniel Neil, Enea Ceolini, Jithendar Anumula, Shih-Chii Liu
Recent work on encoder-decoder models for sequence-to-sequence mapping has shown that integrating both temporal and spatial attention mechanisms into neural networks increases the performance of the system substantially.