Matteo Giuberti
Matteo Giuberti
RADiCAL Solutions, LLC.
Verified email at unipr.it
Title
Cited by
Cited by
Year
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
552018
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
452015
Xsens mvn: Consistent tracking of human motion using inertial sensing
M Schepers, M Giuberti, G Bellusci
Xsens Technologies, 1-8, 2018
322018
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
312016
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
272015
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
212015
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
192016
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
162014
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
152013
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
72011
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
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
42018
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
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
22019
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
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
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Articles 1–20