J
Jaap H. van Dieën
Researcher at VU University Amsterdam
Publications - 482
Citations - 20482
Jaap H. van Dieën is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Trunk & Gait (human). The author has an hindex of 70, co-authored 452 publications receiving 17247 citations. Previous affiliations of Jaap H. van Dieën include University of British Columbia & University of Mannheim.
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Journal ArticleDOI
Development of a real time estimation method of L5S1 moments in occupational lifting.
TL;DR: In this paper , a simplified inverse dynamics model (SM) and a regression model (RM) were used to estimate the L5S1 joint moment with a limited set of input variables without a large reduction in accuracy.
Journal ArticleDOI
Effectiveness of power training compared to strength training in older adults: a systematic review and meta-analysis
TL;DR: A systematic review of the literature on the effect of power training compared to strength training in older adults on tests for muscle power, two groups of activity-based tests under controlled conditions: generic tests and tests with an emphasis on movement speed, and finally, physical activity level in daily life as discussed by the authors .
BookDOI
Ergonomics motor development and ergonomics : Lifting objects as a window on motor control in children
Jaap H. van Dieën,Idsart Kingma +1 more
Journal ArticleDOI
Stride Lengths during Maximal Linear Sprint Acceleration Obtained with Foot-Mounted Inertial Measurement Units
Cornelis J. de Ruiter,Erik Wilmes,Pepijn S van Ardenne,Niels Houtkamp,Reinder A Prince,Maarten Wooldrik,Jaap H. van Dieën +6 more
TL;DR: In recreational athletes wearing IMUs tightly fixed to their shoes, stride length can be estimated with reasonable accuracy during maximal linear sprint acceleration, as well as in athletes sprinting at (sub)maximal effort.
Journal ArticleDOI
Sensor-based intervention to enhance movement control of the spine in low back pain: Protocol for a quasi-randomized controlled trial
TL;DR: Sensor-based spinal controlled exergames are a novel way to train spinal movement control using meaningful and engaging feedback and will inform clinicians and researchers on the efficacy of movement control training for patients with low back pain.