Publikationen von Matteo Cognolato sortiert nach Zeitschrift und Typ
BioRxiv
| , , , , , , , , und , Multi-functional control and usage of a 3D printed robotic hand prosthesis with the Myo armband by hand amputees (2018), in: BioRxiv |
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Frontiers in Artificial Intelligence
| , , und , Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping (2022), in: Frontiers in Artificial Intelligence(199) |
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Frontiers in Bioengienering and Biotechnology
, , , , und , On the visiomotor behavior of amputees and able-bodied people during grasping, (2019), in: Frontiers in Bioengienering and Biotechnology
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Frontiers in Neurorobotics
, und , Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography (2016), in: Frontiers in Neurorobotics, 10(9)
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[DOI] [URL] |
Journal of NeuroEngineering and Rehabilitation,
, , , , und , A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
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Journal of Rehabilitation and Assistive Technologies Engineering
| , und , Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5 |
[DOI] [URL] |
Nature Scientific Data
| , , , , , , , , , , , , und , Gaze, visual,myoelectric data of grasps for intelligent prosthetics (2020), in: Nature Scientific Data |
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Plos One
, , , , und , Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks (2017), in: Plos One
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Scientific Data
| , , , , , , , , und , Gaze, behavioral, and clinical data for phantom limbs after hand amputation from 15 amputees and 29 controls (2020), in: Scientific Data, 7:1(1--14) |
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| , , , , , , , , , und , Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics (2020), in: Scientific Data, 7:1(1--15) |
Publikationen vom Typ Inproceedings
2020
| , , und , Eye-hand coordination to improve grasp-type recognition in hand prostheses, in: Cybathlon Symposium, Zürich, Switzerland, 2020 |
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2019
| , , , und , An Augmented Reality Environment to Provide Visual Feedback to Amputees during sEMG Data Acquisitions, in: TAROS (Towards Autonomous Robotic Systems), London, United Kingdom, 2019 |
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| , , , und , Analyzing the trade-off between training session time and performance in myoelectric hand gesture recognition during upper limb movement, in: 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, 2019 |
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| , , , , , , , , und , Effects of hand amputation surgery procedures on phantom limb sensation, in: FESSH, Berlin, Germany, 2019 |
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| , , , , , , , , und , Effects of hand amputation surgery procedures on sEMG activity to control robotic hand prostheses, in: FESSH, Berlin, Germany, 2019 |
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| , , , , , , und , Myo electricity and 3D printing: a resource for revolutionary hand prosthetics, in: FESSH, Berlin, Germany, 2019 |
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| , , , , , , , und , Myo electricity and 3D printing: a resource for revolutionary hand prosthetics, in: FESSH, Berlin (Germany), 2019 |
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| , , , und , Video-based Prediction of Hand-grasp Preshaping with Application to Prosthesis Control, in: 2019 International Conference on Robotics and Automation (ICRA), Montreal, Quebec, Canada, Seiten 4975 - 4982, IEEE, 2019 |
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2018
| , , , , , , , , und , Aiming with varying degrees of accuracy requirements: Fitt’s Law and associated gaze behaviour in upper limb amputees, in: Urobody conference, Bremen, Germany, 2018 |
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| , , , , , , , , , , und , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Hand, Brain and Technology: The Somatosensory System, Monte Verità, Switzerland, 2018 |
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| , , , , , , , , , und , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Proceedings of the ACNS conference 2018, Melbourne, Australia, 2018 |
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| , , , , , und , Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, The Netherlands, Seiten 156 - 161, 2018 |
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| , , , , , , , , , , , , und , Myo-electricity and gaze tracking data to improve hand prosthetics and neuro-cognitive examination, in: FESSH 2018, Copenhagen, Denmark, 2018 |
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| , , , , , und , Variability of sEMG classification accuracy in different hand movements for intact and hand amputated subjects, in: Innovations in Amputation Surgery and Prosthetic Technologies (IASPT), 2018 |
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| , , , und , Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Enschede, The Netherlands, Seiten 783-788, IEEE, 2018 |
[DOI] [URL] |
2017
| , , , , und , Analysis of the repeatability of grasp recognition for hand robotic prosthesis control based on sEMG data, in: IEEE International Conference on Rehabilitation Robotics, London, UK,, 2017 |
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| , , , , , , , , , , , und , Megane Pro: myo-electricity, visual and gaze tracking integration as a resource for dexterous hand prosthetics, in: IEEE International Conference on Rehabilitation Robotics, London, UK, 2017 |
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| , , , , , , , und , Semi-automatic training of an object recognition system in scene camera data using gaze tracking and accelerometers, in: International Conference on Computer Vision Systems (ICVS), Shenzhen (China), 2017 |
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2016
| , , und , Electromyography for Hand Prosthetics Demo, in: XXVIII Conférence francophone sur l'Interaction Homme-Machine, Fribourg, Suisse, 2016 |
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| , , , und , From NinaPro to MeganePro towards the natural control of myoelectric prosthetic hands, in: Cybathlon Symposium, Zurich, Switzerland, 2016 |
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| , , , , , , und , Obstacles to mental imagery: How bodily constraints affect apparent motion perception of human body parts. A proposed experiment., in: International Brain-Computer Interface (BCI) Meeting, Darmstadt, 2016 |
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