Frank J. Wouda - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 6 from 6

2023

A generic drift reduction technique for orientation estimation from biomechanical angular velocityAnne Haitjema, Frank J. Wouda, Jasper Reenalda, Kim Sunesen, Bert-Jan F. van Beijnum, Peter H. Veltink. bsn 2023: 1-4 [doi]

Estimated ankle/knee joint moments in ambulatory running: an AI-driven inverse dynamics approachFrank J. Wouda, Robbert P. van Middelaar. bsn 2023: 1-4 [doi]

2019

Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow LearningFrank J. Wouda, Matteo Giuberti, Nina Rudigkeit, Bert-Jan F. van Beijnum, Mannes Poel, Peter H. Veltink. sensors, 19(17):3716, 2019. [doi]

Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman FilterFrank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink. AAAI 2019: 10063-10064 [doi]

2018

On the Validity of Different Motion Capture Technologies for the Analysis of RunningFrank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Erik Maartens, Jasper Reenalda, Bert-Jan van Beijnum, Peter H. Veltink. biorob 2018: 1175-1180 [doi]

2016

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, 16(12):2138, 2016. [doi]

Sign in or sign up to see more results.

runs on WebDSL