Coen van der Grinten
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Coen van der Grinten has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Chris J. Lee
Industrial Focus Group XUV Optics, MESA+ Institute for Nanotechnology, University of Twente, Drienerlolaan 5, 7522NB Enschede, The Netherlands
1 shared publication - Eduard Cazacu
Fontys Institute of Engineering, Fontys University of Applied Sciences, 5612 AR Eindhoven, The Netherlands
1 shared publication - Fred Holtkamp
Fontys University of Applied Sciences, Allied Health Professions
1 shared publication - Guus Baeten
Fontys Institute of Engineering, Fontys University of Applied Sciences, 5612 AR Eindhoven, The Netherlands
1 shared publication - Jeroen Bax
Fontys Institute of Engineering, Fontys University of Applied Sciences, 5612 AR Eindhoven, The Netherlands
1 shared publication
Latest Publications
- Open Access
A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
A position sensing glove called SmartScan, which creates a 3D virtual model of a real object, is presented. The data from the glove is processed by a volume minimization algorithm to validate the position sensor data. This allows only data from the object’s surface to be retained. The data validation algorithm allows the user to progressively improve an image by repeatedly moving their hand over the object. In addition, the user can choose their own balance between feature resolution and invalid data rejection. The SmartScan glove is tested on a foot model and is shown to be robust against motion artifacts, having a mean accuracy of 2.9 mm (compared to a 3D model generated from optical imaging) without calibration.
Open AccessA Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
A position sensing glove called SmartScan, which creates a 3D virtual model of a real object, is presented. The data from the glove is processed by a volume minimization algorithm to validate the position sensor data. This allows only data from the object’s surface to be retained. The data validation algorithm allows the user to progressively improve an image by repeatedly moving their hand over the object. In addition, the user can choose their own balance between feature resolution and invalid data rejection. The SmartScan glove is tested on a foot model and is shown to be robust against motion artifacts, having a mean accuracy of 2.9 mm (compared to a 3D model generated from optical imaging) without calibration.