Zobrazeno 1 - 10 of 30 pro vyhledávání: '"Robby Haelterman"'
1
Akademický článek
Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System
Autor: Sofia Scataglini, Stijn Verwulgen, Eddy Roosens, Robby Haelterman, Damien Van Tiggelen
Publikováno v: Sensors, Vol 21, Iss 13, p 4441 (2021)
This study aims to measure and compare spatiotemporal gait parameters in nineteen subjects using a full wearable inertial mocap system Xsens (MVN Awinda, Netherlands) and a photoelectronic system one-meter OptoGaitTM (Microgait, Italy) on a treadmill
Externí odkaz: https://doaj.org/article/e8e49093cd15436981c3baad036a7137
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2
Akademický článek
Extending Broyden's method to interaction problems
Autor: Robby Haelterman, Joris Degroote, Jan Vierendeels, Dirk Van heule
Publikováno v: Journal of Numerical Analysis and Approximation Theory, Vol 37, Iss 2 (2008)
The solution of problems involving the interaction of different systems is a domain of ongoing research, although often a good solver already exists for each system separately. In this paper we draw our ideas from one of the best known all-round quas
Externí odkaz: https://doaj.org/article/d0dffee61f684f45a55c4d11c0a62b9b
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3
Secant update version of quasi-Newton PSB with weighted multisecant equations
Autor: Joris Degroote, Robby Haelterman, Nicolas Boutet
Publikováno v: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
Quasi-Newton methods are often used in the frame of non-linear optimization. In those methods, the quality and cost of the estimate of the Hessian matrix has a major influence on the efficiency of the optimization algorithm, which has a huge impact f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd0ad930739d77512ce5620966b21417
https://doi.org/10.1007/s10589-019-00164-z
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4
Evaluation of golden gait approximation using smart clothing
Autor: Guillaume Abran, Stijn Verwulgen, Damien Van Tiggelen, Sofia Scataglini, Robby Haelterman, Eddy Roosens
Publikováno v: Advances in simulation and digital human modeling : proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 16-20, 2020, USA / Cassenti, Daniel N. [edit.]
Advances in Simulation and Digital Human Modeling ISBN: 9783030510633
AHFE (6)
Gait analysis was calculated in eighteen healthy male adults (mean age 26.33 ± 4.40 years, body mass 74.66 ± 5.62 kg) wearing a smart shirt based on body-worn accelerometer. This approximation relating the inverted pendulum model to a fractal appro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a66214e5e6e4bc97fa664932c104cab
https://hdl.handle.net/10067/1701330151162165141
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5
Hot spot method for pedestrian detection using saliency maps, discrete Chebyshev moments and support vector machine
Autor: Zied Chtourou, Ichraf Lahouli, Geert De Cubber, Rabah Attia, Antonios Gasteratos, Robby Haelterman, E. G. Karakasis
Publikováno v: IET Image Processing. 12:1284-1291
The increasing risks of border intrusions or attacks on sensitive facilities and the growing availability of surveillance cameras lead to extensive research efforts for robust detection of pedestrians using images. However, the surveillance of border
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::709a5f19b5215e35425a5da61a403008
https://doi.org/10.1049/iet-ipr.2017.0221
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7
Using 3D statistical shape models for designing smart clothing
Autor: Sofia Scataglini, Giuseppe Andreoni, Toon Huysmans, Femke Danckaers, Robby Haelterman, Jan Sijbers
Publikováno v: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. / Bagnara, S. [edit.]
Advances in Intelligent Systems and Computing ISBN: 9783319960760
In this paper we present an innovative approach to design smart clothing using statistical body shape modeling (SBSM) from the CAESAR dataset. A combination of different digital technologies and applications are used to create a common co-design work
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fca0f0db6a4581331f1397475f5487d4
https://hdl.handle.net/10067/1543080151162165141
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8
Automatic generation of statistical shape models in motion
Autor: Jan Sijbers, Damien Van Tiggelen, Femke Danckaers, Toon Huysmans, Sofia Scataglini, Robby Haelterman
Publikováno v: Advances in Human Factors in Simulation and Modeling. AHFE 2018. / Cassenti, D.N. [edit.]
Advances in Intelligent Systems and Computing ISBN: 9783319942223
Statistical body shape modeling (SBSM) is a well-known technique to map out the variability of body shapes and is commonly used in 3D anthropometric analyses. In this paper, a new approach to integrate movement acquired by a motion capture system wit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a53e0b29c96e12e20e0f9216f5edd4
https://hdl.handle.net/10067/1543010151162165141
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9
Pedestrian Detection and Trajectory Estimation in the Compressed Domain Using Thermal Images
Autor: Mohamed Ali Ben Ayed, Rabah Attia, Ichraf Lahouli, Zied Chtourou, Robby Haelterman, Geert De Cubber
Publikováno v: Communications in Computer and Information Science ISBN: 9783030267551
VISIGRAPP (Revised Selected Papers)
Since a few decades, the Unmanned Aerial Vehicles (UAVs) are considered precious tools for different military applications such as the automatic surveillance in outdoor environments. Nevertheless, the onboard implementation of image and video process
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::86a3d302e8b8af17a86e5aa2071c3ac9
https://doi.org/10.1007/978-3-030-26756-8_10
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10
Pedestrian Tracking in the Compressed Domain Using Thermal Images
Autor: Zied Chtourou, Ichraf Lahouli, Rabah Attia, Robby Haelterman, Geert De Cubber
Publikováno v: Representations, Analysis and Recognition of Shape and Motion from Imaging Data ISBN: 9783030198152
The video surveillance of sensitive facilities or borders poses many challenges like the high bandwidth requirements and the high computational cost. In this paper, we propose a framework for detecting and tracking pedestrians in the compressed domai
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68508ddcab640e0b2eda97224c6473b7
https://doi.org/10.1007/978-3-030-19816-9_3
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