Giovanni Bellusci
Giovanni Bellusci
Потвърден имейл адрес: hilti.com
Estimation of ground reaction forces and moments during gait using only inertial motion capture
A Karatsidis, G Bellusci, HM Schepers, M De Zee, MS Andersen, ...
Sensors 17 (1), 75, 2016
Xsens MVN: Consistent Tracking of Human Motion Using Inertial Sensing
HM Schepers, M Giuberti, G Bellusci
https://www.researchgate.net/publication …, 2018
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
Xsens MTw Awinda: Miniature Wireless Inertial-Magnetic Motion Tracker for Highly Accurate 3D Kinematic Applications
M Paulich, HM Schepers, N Rudigkeit, G Bellusci
https://www.researchgate.net/profile/Martin_Schepers/publication …, 2018
Review of range-based positioning algorithms
J Yan, CCJM Tiberius, GJM Janssen, PJG Teunissen, G Bellusci
IEEE Aerospace and Electronic Systems Magazine 28 (8), 2-27, 2013
Musculoskeletal model-based inverse dynamic analysis under ambulatory conditions using inertial motion capture
A Karatsidis, M Jung, HM Schepers, G Bellusci, M de Zee, PH Veltink, ...
Medical engineering & physics 65, 68-77, 2019
Estimation of the knee adduction moment and joint contact force during daily living activities using inertial motion capture
JM Konrath, A Karatsidis, HM Schepers, G Bellusci, M de Zee, ...
Sensors 19 (7), 1681, 2019
Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset
A Karatsidis, RE Richards, JM Konrath, JC Van Den Noort, HM Schepers, ...
Journal of neuroengineering and rehabilitation 15 (1), 1-12, 2018
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
IMU and multiple RGB-D camera fusion for assisting indoor stop-and-go 3D terrestrial laser scanning
JCK Chow, DD Lichti, JD Hol, G Bellusci, H Luinge
Robotics 3 (3), 247-280, 2014
A framework for low complexity least-squares localization with high accuracy
J Yan, CCJM Tiberius, PJG Teunissen, G Bellusci, GJM Janssen
IEEE Transactions on Signal Processing 58 (9), 4836-4847, 2010
Feasibility of Gauss-Newton method for indoor positioning
J Yan, C Tiberius, G Bellusci, G Janssen
2008 IEEE/ION Position, Location and Navigation Symposium, 660-670, 2008
Model of distance and bandwidth dependency of TOA-based UWB ranging error
G Bellusci, GJM Janssen, J Yan, CCJM Tiberius
2008 IEEE International Conference on Ultra-Wideband 3, 193-196, 2008
Predicting kinetics using musculoskeletal modeling and inertial motion capture
A Karatsidis, M Jung, HM Schepers, G Bellusci, M de Zee, PH Veltink, ...
arXiv preprint arXiv:1801.01668, 2018
The next generation Xsens motion trackers for industrial applications
A Vydhyanathan, G Bellusci, H Luinge, P Slycke
https://www.xsens.com/wp-content/uploads/2014/pdf/MTi%20-%20White%20Paper.pdf, 2015
Investigation of UWB ranging in dense indoor multipath environments
Z Irahhauten, G Bellusci, GJM Janssen, H Nikookar, C Tiberius
2006 10th IEEE Singapore International Conference on Communication Systems, 1-5, 2006
Anticipatory models of human movements and dynamics: the roadmap of the andy project
S Ivaldi, L Fritzsche, J Babič, F Stulp, M Damsgaard, B Graimann, ...
Digital Human Models (DHM), 2017
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 and …, 2018
Optimization-based sensor fusion of GNSS and IMU using a moving horizon approach
F Girrbach, JD Hol, G Bellusci, M Diehl
Sensors 17 (5), 1159, 2017
Performance evaluation of a low-complexity receiver concept for TOA-based ultrawideband ranging
G Bellusci, GJM Janssen, J Yan, CCJM Tiberius
IEEE Transactions on vehicular Technology 61 (9), 3825-3837, 2012
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