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Discrete Cutaneous Feedback for Reducing Dimensions of Wearable Haptic Devices., , , and . Frontiers Virtual Real., (2022)Kinematic Synergy of Multi-DoF Movement in Upper Limb and Its Application for Rehabilitation Exoskeleton Motion Planning., , , , , , , , and . Frontiers Neurorobotics, (2019)Haptic Stimulation for Improving Training of a Motor Imagery BCI Developed for a Hand-Exoskeleton in Rehabilitation., , , , , and . ICORR, page 1127-1132. IEEE, (2019)Synergy-Based Multi-fingers Forces Reconstruction and Discrimination from Forearm EMG., , and . EuroHaptics (2), volume 10894 of Lecture Notes in Computer Science, page 204-213. Springer, (2018)Upper Limb Joint Angular Velocity Synergies of Human Reaching Movements., , , , , and . CBS, page 641-646. IEEE, (2018)Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies., , , , , , , , , and 5 other author(s). Sensors, 21 (24): 8167 (2021)A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints., , , , and . Frontiers Neurorobotics, (2018)Evaluating Generalization Capability of Bio-inspired Models for a Myoelectric Control: A Pilot Study., , , , , and . ICIC (3), volume 11645 of Lecture Notes in Computer Science, page 739-750. Springer, (2019)Towards online myoelectric control based on muscle synergies-to-force mapping for robotic applications., , , , and . Neurocomputing, (2021)A New Gaze-BCI-Driven Control of an Upper Limb Exoskeleton for Rehabilitation in Real-World Tasks., , , , , , and . IEEE Trans. Syst. Man Cybern. Part C, 42 (6): 1169-1179 (2012)