Arjan Gijsberts
Arjan Gijsberts
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Electromyography data for non-invasive naturally-controlled robotic hand prostheses
M Atzori, A Gijsberts, C Castellini, B Caputo, AGM Hager, S Elsig, ...
Scientific data 1 (1), 1-13, 2014
Proceedings of the first workshop on peripheral machine interfaces: Going beyond traditional surface electromyography
C Castellini, P Artemiadis, M Wininger, A Ajoudani, M Alimusaj, A Bicchi, ...
Frontiers in neurorobotics 8, 22, 2014
Building the Ninapro database: A resource for the biorobotics community
M Atzori, A Gijsberts, S Heynen, AGM Hager, O Deriaz, P Van Der Smagt, ...
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012
Characterization of a benchmark database for myoelectric movement classification
M Atzori, A Gijsberts, I Kuzborskij, S Elsig, AGM Hager, O Deriaz, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (1), 73-83, 2014
Movement error rate for evaluation of machine learning methods for sEMG-based hand movement classification
A Gijsberts, M Atzori, C Castellini, H Müller, B Caputo
IEEE transactions on neural systems and rehabilitation engineering 22 (4 …, 2014
On the challenge of classifying 52 hand movements from surface electromyography
I Kuzborskij, A Gijsberts, B Caputo
2012 annual international conference of the IEEE engineering in medicine and …, 2012
Real-time model learning using incremental sparse spectrum gaussian process regression
A Gijsberts, G Metta
Neural networks 41, 59-69, 2013
Stable myoelectric control of a hand prosthesis using non-linear incremental learning
A Gijsberts, R Bohra, D Sierra González, A Werner, M Nowak, B Caputo, ...
Frontiers in neurorobotics 8, 8, 2014
Clinical parameter effect on the capability to control myoelectric robotic prosthetic hands
M Atzori, A Gijsberts, C Castellini, B Caputo, AG Mittaz Hager, S Elsig, ...
Journal of rehabilitation research and development 53 (3), 345-358, 2016
Incremental learning of robot dynamics using random features
A Gijsberts, G Metta
2011 IEEE International Conference on Robotics and Automation, 951-956, 2011
Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data
F Palermo, M Cognolato, A Gijsberts, H Müller, B Caputo, M Atzori
2017 International Conference on Rehabilitation Robotics (ICORR), 1154-1159, 2017
Learning to exploit proximal force sensing: a comparison approach
M Fumagalli, A Gijsberts, S Ivaldi, L Jamone, G Metta, L Natale, F Nori, ...
From motor learning to interaction learning in robots, 149-167, 2010
Classification of hand movements in amputated subjects by sEMG and accelerometers
M Atzori, A Gijsberts, H Müller, B Caputo
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Exploiting accelerometers to improve movement classification for prosthetics
A Gijsberts, B Caputo
2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 1-5, 2013
Megane pro: myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics
F Giordaniello, M Cognolato, M Graziani, A Gijsberts, V Gregori, G Saetta, ...
2017 International Conference on Rehabilitation Robotics (ICORR), 1148-1153, 2017
Experiences in the creation of an electromyography database to help hand amputated persons
M Atzori, A Gijsberts, S Heynen, AG Mittaz-Hager, C Castellini, B Caputo, ...
24th Medical Informatics Europe Conference 180, 828-832, 2012
Evolutionary optimization of least-squares support vector machines
A Gijsberts, G Metta, L Rothkrantz
Data mining, 277-297, 2010
Visual cues to improve myoelectric control of upper limb prostheses
A Gigli, V Gregori, M Cognolato, M Atzori, A Gijsberts
2018 7th IEEE International Conference on Biomedical Robotics and …, 2018
Object recognition using visuo-affordance maps
A Gijsberts, T Tommasi, G Metta, B Caputo
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
Natural control capabilities of robotic hands by hand amputated subjects
M Atzori, A Gijsberts, B Caputo, H Müller
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
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