Matteo Giuberti
Matteo Giuberti
RADiCAL Solutions, LLC.
Verified email at unipr.it
TitleCited byYear
Body-sensor-network-based kinematic characterization and comparative outlook of UPDRS scoring in leg agility, sit-to-stand, and Gait tasks in Parkinson's disease
F Parisi, G Ferrari, M Giuberti, L Contin, V Cimolin, C Azzaro, G Albani, ...
IEEE journal of biomedical and health informatics 19 (6), 1777-1793, 2015
372015
Estimation of vertical ground reaction forces and sagittal knee kinematics during running using three inertial sensors
FJ Wouda, M Giuberti, G Bellusci, E Maartens, J Reenalda, ...
Frontiers in physiology 9, 218, 2018
292018
Estimation of full-body poses using only five inertial sensors: an eager or lazy learning approach?
FJ Wouda, M Giuberti, G Bellusci, PH Veltink
Sensors 16 (12), 2138, 2016
242016
Assigning UPDRS scores in the leg agility task of Parkinsonians: Can it be done through BSN-based kinematic variables?
M Giuberti, G Ferrari, L Contin, V Cimolin, C Azzaro, G Albani, A Mauro
IEEE Internet of Things Journal 2 (1), 41-51, 2015
242015
Inertial BSN-based characterization and automatic UPDRS evaluation of the gait task of Parkinsonians
F Parisi, G Ferrari, M Giuberti, L Contin, V Cimolin, C Azzaro, G Albani, ...
IEEE Transactions on Affective Computing 7 (3), 258-271, 2016
162016
Automatic UPDRS evaluation in the sit-to-stand task of Parkinsonians: Kinematic analysis and comparative outlook on the leg agility task
M Giuberti, G Ferrari, L Contin, V Cimolin, C Azzaro, G Albani, A Mauro
IEEE journal of biomedical and health informatics 19 (3), 803-814, 2015
152015
Linking UPDRS scores and kinematic variables in the leg agility task of Parkinsonians
M Giuberti, G Ferrari, L Contin, V Cimolin, C Azzaro, G Albani, A Mauro
2014 11th International Conference on Wearable and Implantable Body Sensorá…, 2014
142014
Xsens mvn: Consistent tracking of human motion using inertial sensing
M Schepers, M Giuberti, G Bellusci
Xsens Technologies, 1-8, 2018
132018
On the characterization of leg agility in patients with Parkinson's Disease
M Giuberti, G Ferrari, L Contin, V Cimolin, N Cau, M Galli, C Azzaro, ...
2013 IEEE International Conference on Body Sensor Networks, 1-6, 2013
122013
Low-complexity inertial sensor-based characterization of the UPDRS score in the gait task of parkinsonians
F Parisi, G Ferrari, M Giuberti, L Contin, V Cimolin, C Azzaro, G Albani, ...
Proceedings of the 9th International Conference on Body Area Networks, 69-75, 2014
52014
Simple and robust BSN-based activity classification: Winning the first BSN contest
M Giuberti, G Ferrari
Proceedings of the 4th International Symposium on Applied Sciences iná…, 2011
52011
Fingerprinting-based wireless 3D localization for motion capture applications
M Giuberti, M Martal˛, G Ferrari
Proceedings of the First ACM MobiHoc Workshop on Pervasive Wirelessá…, 2011
42011
Inertial Sensing for Human Motion Analysis: Processing, Technologies, and Applications
M Giuberti
UniversitÓ di Parma. Dipartimento di Ingegneria dell'Informazione, 2014
22014
Experimental investigation of wireless sensor networks for fingerprinting-based posture recognition
M Martal˛, M Giuberti, G Ferrari
Riunione annuale, 2011
22011
On the validity of different motion capture technologies for the analysis of running
FJ Wouda, M Giuberti, G Bellusci, E Maartens, J Reenalda, ...
2018 7th IEEE International Conference on Biomedical Robotics andá…, 2018
12018
A hybrid radio/accelerometric approach to arm posture recognition
M Giuberti, M Martal˛, G Ferrari
Journal of Ambient Intelligence and Smart Environments 7 (4), 563-578, 2015
12015
BSN-based activity classification: A low complexity windowing-&-classification approach
M Giuberti, G Ferrari
Advances in Science and Technology 85, 53-58, 2013
12013
Asynchronous SDI
G Bellusci, S Bhandari, R Zandbergen, M Giuberti, L Slot
US Patent App. 15/962,639, 2019
2019
Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter
FJ Wouda, M Giuberti, G Bellusci, BJF van Beijnum, PH Veltink
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10063-10064, 2019
2019
Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning
FJ Wouda, M Giuberti, N Rudigkeit, BJF van Beijnum, M Poel, PH Veltink
Sensors 19 (17), 3716, 2019
2019
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Articles 1–20