Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands. - Manfredo Atzori; Matteo Cognolato; Henning Müller (Frontiers Neurorobotics, 2016)

Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics. - Francesca Giordaniello; Matteo Cognolato; Mara Graziani; Arjan Gijsberts; Valentina Gregori; Gianluca Saetta; Anne-Gabrielle Mittaz Hager; Cesare Tiengo; Franco Bassetto; Peter C. Brugger; Barbara Caputo; Henning Müller; et al. (ICORR, 2017)

Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data. - Francesca Palermo; Matteo Cognolato; Arjan Gijsberts; Henning Müller; Barbara Caputo; Manfredo Atzori (ICORR, 2017)

Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers. - Matteo Cognolato; Mara Graziani; Francesca Giordaniello; Gianluca Saetta; Franco Bassetto; Peter C. Brugger; Barbara Caputo; Henning Müller; Manfredo Atzori (ICVS, 2017)

Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses. - Andrea Gigli; Arjan Gijsberts; Valentina Gregori; Matteo Cognolato; Manfredo Atzori; Barbara Caputo (CoRR, 2017)

Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier. - Matteo Cognolato; Manfredo Atzori; Diego Faccio; Cesare Tiengo; Franco Bassette; Roger Gassert; Henning Müller (BioRob, 2018)

Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses. - Andrea Gigli; Valentina Gregori; Matteo Cognolato; Manfredo Atzori; Arjan Gijsberts (BioRob, 2018)

Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement. - Matteo Cognolato; Lorenzo Brigato; Yashin Dicente Cid; Manfredo Atzori; Henning Müller (ICORR, 2019)

Video-based Prediction of Hand-grasp Preshaping with Application to Prosthesis Control. - Luke T. Taverne; Matteo Cognolato; Tobias L. Bützer; Roger Gassert; Otmar Hilliges (ICRA, 2019)

An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions. - Francesca Palermo; Matteo Cognolato; Ivan Eggel; Manfredo Atzori; Henning Müller (TAROS (2), 2019)

Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping. - Matteo Cognolato; Manfredo Atzori; Roger Gassert; Henning Müller (Frontiers Artif. Intell., 2021)