about
Prediction in the Vestibular Control of Arm Movements.Automating the Timed Up and Go Test Using a Depth Camera.Matching optical flow to motor speed in virtual reality while running on a treadmill.Advances in Human-Computer Interactions: Methods, Algorithms, and ApplicationsFast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks.Automatic measurement of fall risk indicators in timed up and go testInfluence of the Size of the Field of View on Visual Perception While Running in a Treadmill-Mediated Virtual EnvironmentA Biologically-Inspired Model to Predict Perceived Visual Speed as a Function of the Stimulated Portion of the Visual FieldRegular physical activity modulates perceived visual speed when running in treadmill-mediated virtual environments3D feedback and observation for motor learning: Application to the roundoff movement in gymnastics
P50
Q38643802-6758B264-2DFC-46A2-A691-FFCDB8727628Q47570718-11EF1A5E-2B3D-4A1C-AD7A-DB5C2A9453B4Q55074169-5C91AB66-17B0-4EA4-B95B-E7306CF5E8FDQ61714818-9D648DE2-BFF3-4600-A776-39898EB2D786Q64910122-36F1E208-BA31-4F43-B9E0-72DF99F32B07Q90913649-13C94AAD-6322-4B06-934B-8373C9789238Q91082155-413C7940-F684-4E09-A3C8-601851CF693AQ91316074-B669BAF9-2D4C-4C75-8C2E-51928BCA40E8Q93046483-3C654002-4D7D-4F7D-84D5-95D9E34EA5FBQ93122666-5CE9CE17-185B-4E80-99B0-A8D2034DC94E
P50
description
researcher
@en
wetenschapper
@nl
name
Jean-Pierre Bresciani
@en
Jean-Pierre Bresciani
@nl
type
label
Jean-Pierre Bresciani
@en
Jean-Pierre Bresciani
@nl
prefLabel
Jean-Pierre Bresciani
@en
Jean-Pierre Bresciani
@nl
P108
P31
P496
0000-0002-7242-5433