Frank J. Wouda

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 8

Top Topics

Using Artificial Neural Networks

Pose Estimation

Inertial Sensors

Top Venues

Publications

Anne Haitjema, Frank J. Wouda, Peter H. Veltink, Gregory Miller, Jasper Reenalda
Ambulatory Monitoring of Injury Risk in Runners: The Effect of Sampling Frequency on Peak Tibial Acceleration and Impulse. MeMeA (2024)
Alessandro Castellaz, Frank J. Wouda, Bert-Jan F. van Beijnum
Estimating 3D GRF Using a Minimal Sensor Setup: Exploiting the Concept of VPP. MeMeA (2024)
Anne Haitjema, Frank J. Wouda, Jasper Reenalda, Kim Sunesen, Bert-Jan F. van Beijnum, Peter H. Veltink
A generic drift reduction technique for orientation estimation from biomechanical angular velocity. BSN (2023)
Frank J. Wouda, Robbert P. van Middelaar
Estimated ankle/knee joint moments in ambulatory running: an AI-driven inverse dynamics approach. BSN (2023)
Frank J. Wouda, Matteo Giuberti, Nina Rudigkeit, Bert-Jan F. van Beijnum, Mannes Poel, Peter H. Veltink
Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning. Sensors 19 (17) (2019)
Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink
Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter. AAAI (2019)
Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Erik Maartens, Jasper Reenalda, Bert-Jan van Beijnum, Peter H. Veltink
On the Validity of Different Motion Capture Technologies for the Analysis of Running. BioRob (2018)
Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Peter H. Veltink
Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach? Sensors 16 (12) (2016)