Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach? - Frank J. Wouda; Matteo Giuberti; Giovanni Bellusci; Peter H. Veltink (Sensors, 2016)

On the Validity of Different Motion Capture Technologies for the Analysis of Running. - Frank J. Wouda; Matteo Giuberti; Giovanni Bellusci; Erik Maartens; Jasper Reenalda; Bert-Jan van Beijnum; Peter H. Veltink (BioRob, 2018)

Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter. - Frank J. Wouda; Matteo Giuberti; Giovanni Bellusci; Bert-Jan F. van Beijnum; Peter H. Veltink (AAAI, 2019)

Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning. - Frank J. Wouda; Matteo Giuberti; Nina Rudigkeit; Bert-Jan F. van Beijnum; Mannes Poel; Peter H. Veltink (Sensors, 2019)

A generic drift reduction technique for orientation estimation from biomechanical angular velocity. - Anne Haitjema; Frank J. Wouda; Jasper Reenalda; Kim Sunesen; Bert-Jan F. van Beijnum; Peter H. Veltink (BSN, 2023)

Estimated ankle/knee joint moments in ambulatory running: an AI-driven inverse dynamics approach. - Frank J. Wouda; Robbert P. van Middelaar (BSN, 2023)

Estimating 3D GRF Using a Minimal Sensor Setup: Exploiting the Concept of VPP. - Alessandro Castellaz; Frank J. Wouda; Bert-Jan F. van Beijnum (MeMeA, 2024)

Ambulatory Monitoring of Injury Risk in Runners: The Effect of Sampling Frequency on Peak Tibial Acceleration and Impulse. - Anne Haitjema; Frank J. Wouda; Peter H. Veltink; Gregory Miller 001; Jasper Reenalda (MeMeA, 2024)