3 citations · 3 across the 5 of their papers we have counts for
5 papers
RAG-based EEG-to-Text Translation Using Deep Learning and LLMs
Enrico Collautti, Xiaopeng Mao, Luca Tonin +2
The decoding of linguistic information from electroencephalography (EEG) signals remains an extremely challenging problem in brain-computer interface (BCI) research. In particular,…
Adaptive Gait Generation for Multi-Terrain Exoskeletons via Constrained Kernelized Movement Primitives
Edoardo Trombin, Miroljub Mihailovic, Matheus Henrique Ferreira Moura +3
Lower limb exoskeletons (LLEs) present the potential to make motor-impaired individuals walk again. Their application in real-world environments is still limited by the lack of eff…
GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation
Miroljub Mihailovic, Luca Tonin, Stefano Tortora +1
Reliable estimation of neuromuscular activation is a key enabler for adaptive and personalized control in wearable robotics. However, surface electromyography (EMG) remains difficu…
Fast human motion prediction for human-robot collaboration with wearable interfaces
Stefano Tortora, Stefano Michieletto, Francesca Stival +1
In this paper, we aim at improving human motion prediction during human-robot collaboration in industrial facilities by exploiting contributions from both physical and physiologica…
Entropy-based Motion Intention Identification for Brain-Computer Interface
Tortora Stefano, Beraldo Gloria, Tonin Luca +1
The identification of intentionally delivered commands is a challenge in Brain Computer Interfaces (BCIs) based on Sensory-Motor Rhythms (SMR). It is of fundamental importance that…