Arjan Gijsberts
Arjan Gijsberts
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TitleCited byYear
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, 140053, 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, AG Mittaz Hager, O Deriaz, ...
Proceedings of the Fourth IEEE RAS/EMBS International Conference on …, 2012
Movement error rate for evaluation of machine learning methods for sEMG-based hand movement classification
A Gijsberts, M Atzori, C Castellini, H Muller, B Caputo
IEEE Trans. Neural Syst. Rehabil. Eng 22 (4), 735-744, 2014
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, 2015
Real-time model learning using incremental sparse spectrum gaussian process regression
A Gijsberts, G Metta
Neural Networks 41, 59-69, 2013
On the challenge of classifying 52 hand movements from surface electromyography
I Kuzborskij, A Gijsberts, B Caputo
Engineering in Medicine and Biology Society (EMBC), 2012 Annual …, 2012
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
Incremental learning of robot dynamics using random features
A Gijsberts, G Metta
Robotics and Automation (ICRA), 2011 IEEE International Conference on, 951-956, 2011
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
Exploiting accelerometers to improve movement classification for prosthetics
A Gijsberts, B Caputo
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on, 1-5, 2013
Effect of clinical parameters on the control of myoelectric robotic prosthetic hands.
M Atzori, A Gijsberts, C Castellini, B Caputo, AG Mittaz Hager, S Elsig, ...
Journal of Rehabilitation Research & Development 53 (3), 2016
Classification of hand movements in amputated subjects by sEMG and accelerometers
M Atzori, A Gijsberts, H Müller, B Caputo
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Evolutionary optimization of least-squares support vector machines
A Gijsberts, G Metta, L Rothkrantz
Data mining, 277-297, 2010
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, ...
Proceedings of the 24th European Medical Informatics Conference, 2012
Natural control capabilities of robotic hands by hand amputated subjects
M Atzori, A Gijsberts, B Caputo, H Müller
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Object recognition using visuo-affordance maps
A Gijsberts, T Tommasi, G Metta, B Caputo
International Conference on Intelligent Robots and Systems, 2010
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
Rehabilitation Robotics (ICORR), 2017 International Conference on, 1154-1159, 2017
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, ...
Rehabilitation Robotics (ICORR), 2017 International Conference on, 1148-1153, 2017
Adaptive learning to speed-up control of prosthetic hands: A few things everybody should know
V Gregori, A Gijsberts, B Caputo
arXiv preprint arXiv:1702.08283, 2017
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