Frank J. Wouda
Frank J. Wouda
Assistant Professor at University of Twente
Verified email at - Homepage
Cited by
Cited by
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
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
Activities of Daily Living-Based Rehabilitation System for Arm and Hand Motor Function Retraining After Stroke
X Song, SS Van De Ven, L Liu, FJ Wouda, H Wang, PB Shull
IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 621-631, 2022
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
Foot progression angle estimation using a single foot-worn inertial sensor
FJ Wouda, SLJO Jaspar, J Harlaar, BJF van Beijnum, PH Veltink
Journal of neuroengineering and rehabilitation 18, 1-10, 2021
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
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 (01), 10063 …, 2019
Towards motion capture with minimal sensing
FJ Wouda
A generic drift reduction technique for orientation estimation from biomechanical angular velocity
A Haitjema, FJ Wouda, J Reenalda, K Sunesen, BJF van Beijnum, ...
2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4, 2023
Estimated ankle/knee joint moments in ambulatory running: an AI-driven inverse dynamics approach
FJ Wouda, RP van Middelaar
IEEE Body Sensor Networks, 2023
Tightly Coupled Inertial and Radio-Based Foot-Worn Sensors for Ambulatory Spatial Gait Analysis
FJ Wouda, I Bilal, U Sakthivelu
European Society of Biomechanics 27, 2022
Foot progression angle determination method and system, computer program, and storage medium
FJ Wouda, SLJO Jaspar, BJF van Beijnum, PH Veltink
NL Patent NL2,024,735, 2021
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