Matteo Cognolato

发表

Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics

Manfredo Atzori, Franco Bassetto, Henning Müller, 2019, Scientific Data.

Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2016 .

Designing, building, measuring, and testing a constant equivalent fall height terrain park jump

Nicola Petrone, Mont Hubbard, Matteo Cognolato, 2016, 1611.04448.

A quantitative taxonomy of human hand grasps

Manfredo Atzori, Henning Müller, Francesca Stival, 2019, Journal of NeuroEngineering and Rehabilitation.

An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions

Manfredo Atzori, Henning Müller, Ivan Eggel, 2019, TAROS.

Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2018, Journal of rehabilitation and assistive technologies engineering.

Multifunction control and evaluation of a 3D printed hand prosthesis with the Myo armband by hand amputees

Manfredo Atzori, Roger Gassert, Matteo Cognolato, 2018, bioRxiv.

Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers

Barbara Caputo, Manfredo Atzori, Henning Müller, 2017, ICVS.

Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics

Henning Müller, Manfredo Atzori, Franco Bassetto, 2020, Scientific Data.

Ninapro Dataset 5 (Double Myo Armband)

Manfredo Atzori, Henning Müller, Monica Reggiani, 2017 .

Quantification of the User-wheelchair System Stability based on the CoP Trajectory within the Base of Support

Nicola Petrone, Matteo Cognolato, Giuseppe Marcolin, 2014 .

Publisher Correction: Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics

Henning Müller, Manfredo Atzori, Franco Bassetto, 2020, Scientific Data.

Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics

Barbara Caputo, Manfredo Atzori, Henning Müller, 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses

Manfredo Atzori, Barbara Caputo, Matteo Cognolato, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement

Manfredo Atzori, Henning Müller, Yashin Dicente Cid, 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR).

On the Visuomotor Behavior of Amputees and Able-Bodied People During Grasping

Manfredo Atzori, Matteo Cognolato, Arjan Gijsberts, 2019, Front. Bioeng. Biotechnol..

Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier* This work was partially supported by the Swiss National Science Foundation Sinergia project # 410160837 MeganePro.

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

Experimental validation of Xsens inertial sensors during clinical and sport motion capture applications

Matteo Cognolato, 2012 .

Ninapro Dataset 4 (Cometa Wave Plus + Dormo)

Manfredo Atzori, Henning Müller, Monica Reggiani, 2017 .

Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2016, Front. Neurorobot..

Comparison of six electromyography acquisition setups on hand movement classification tasks

Manfredo Atzori, Henning Müller, Monica Reggiani, 2017, PloS one.

The Effect of Buckle Closure and Temperature on the In-vivo Flexibility of Ski-boots: A Pilot Study

Nicola Petrone, Matteo Cognolato, Giuseppe Marcolin, 2014 .

Impact Performance of Standard Tabletop and Constant Equivalent Fall Height Snow Park Jumps

Nicola Petrone, Mont Hubbard, Matteo Cognolato, 2015 .

Video-based Prediction of Hand-grasp Preshaping with Application to Prosthesis Control

Otmar Hilliges, Roger Gassert, Matteo Cognolato, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data

Barbara Caputo, Manfredo Atzori, Henning Müller, 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).