References of "Verly, Jacques"
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See detail3D and stereoscopy
Verly, Jacques ULg; Grogna, David ULg; Lejeune, Antoine ULg

Conference given outside the academic context (2016)

Detailed reference viewed: 10 (1 ULg)
See detailOUFTI-1 : comment les étudiants belges ont envoyé un satellite en orbite
Verly, Jacques ULg; Kerschen, Gaëtan ULg; Werner, Xavier ULg et al

Conference given outside the academic context (2016)

Detailed reference viewed: 32 (5 ULg)
See detail3D Stereo MEDIA 2016, an international event at the service of companies
Verly, Jacques ULg

Scientific conference (2016, October 05)

Detailed reference viewed: 25 (5 ULg)
See detailGoal of 3D Express and quick panorama of 3D
Verly, Jacques ULg

Scientific conference (2016, October 05)

Detailed reference viewed: 22 (1 ULg)
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See detailObjective drowsiness monitoring to assess fitness for duty
François, Clémentine ULg; Hoyoux, Thomas ULg; Langohr, Thomas ULg et al

Poster (2016, September 16)

Detailed reference viewed: 13 (2 ULg)
See detailLa 3D : la technologie qui a changé l'histoire du monde
Verly, Jacques ULg

Conference given outside the academic context (2016)

Detailed reference viewed: 29 (2 ULg)
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See detailMethod for detecting interest points in images using angular signatures
Grogna, David ULg; Boutaayamou, Mohamed ULg; Verly, Jacques ULg

in IEEE Xplore Digital Library (2016)

We present an innovative method for detecting interest points (IPs) in grayscale and color images. It is based on the use of angular signatures (ASs), produced by spinning, at each pixel in the image, an ... [more ▼]

We present an innovative method for detecting interest points (IPs) in grayscale and color images. It is based on the use of angular signatures (ASs), produced by spinning, at each pixel in the image, an "x-tapered, y-derivative, half-Gaussian kernel" in discrete angular steps. By exploiting the AS(s) produced at each pixel, it automatically "classifies" the pixel as being an IP or not. We present preliminary results on synthetic grayscale and real color 2D images, and these confirm the potential value of the method. It can easily be extended from grayscale and color images to images with any number of components, as well as to 3D volumetric images and images on grids of higher dimensionality. It is useful for stereo matching and video tracking. [less ▲]

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See detailThe ULg Multimodality Drowsiness Database (called DROZY) and examples of use
Massoz, Quentin ULg; Langohr, Thomas ULg; François, Clémentine ULg et al

in Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) (2016)

Drowsiness is a major cause of accidents, in particular in road transportation. It is thus crucial to develop robust drowsiness monitoring systems. There is a widespread agreement that the best way to ... [more ▼]

Drowsiness is a major cause of accidents, in particular in road transportation. It is thus crucial to develop robust drowsiness monitoring systems. There is a widespread agreement that the best way to monitor drowsiness is by closely monitoring symptoms of drowsiness that are directly linked to the physiology of an operator such as a driver. The best systems are completely transparent to the operator until the moment he/she must react. In transportation, cameras placed in the passenger compartment and looking at least at the face of the driver are most likely the best way to sense physiology related symptoms such as facial expressions and the fine behavior of the eyeballs and eyelids. We present here the new database (available on http://www.drozy.ulg.ac.be) called DROZY that provides multiple modalities of data to tackle the design of drowsiness monitoring systems and related experiments. We also present two novel systems developed using this database that can make predictions about the speed of reaction of an operator by using near-infrared intensity and range images of his/her face. [less ▲]

Detailed reference viewed: 202 (83 ULg)
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See detailExtraction of temporal gait parameters using a reduced number of wearable accelerometers
Boutaayamou, Mohamed ULg; Denoël, Vincent ULg; Bruls, Olivier ULg et al

in Proceedings of the 9th International Conference on Bio-inspired Systems and Signal Processing (2016)

Wearable inertial systems often require many sensing units in order to reach an accurate extraction of temporal gait parameters. Reconciling easy and fast handling in daily clinical use and accurate ... [more ▼]

Wearable inertial systems often require many sensing units in order to reach an accurate extraction of temporal gait parameters. Reconciling easy and fast handling in daily clinical use and accurate extraction of a substantial number of relevant gait parameters is a challenge. This paper describes the implementation of a new accelerometer-based method that accurately and precisely detects gait events/parameters from acceleration signals measured from only two accelerometers attached on the heels of the subject’s usual shoes. The first step of the proposed method uses a gait segmentation based on the continuous wavelet transform (CWT) that provides only a rough estimation of motionless periods defining relevant local acceleration signals. The second step uses the CWT and a novel piecewise-linear fitting technique to accurately extract, from these local acceleration signals, gait events, each labelled as heel strike (HS), toe strike (TS), heel-off (HO), toe-off (TO), or heel clearance (HC). A stride-by-stride validation of these extracted gait events was carried out by comparing the results with reference data provided by a kinematic 3D analysis system (used as gold standard) and a video camera. The temporal accuracy ± precision of the gait events were for HS: 7.2 ms ± 22.1 ms, TS: 0.7 ms ± 19.0 ms, HO: ‒3.4 ms ± 27.4 ms, TO: 2.2 ms ± 15.7 ms, and HC: 3.2 ms ± 17.9 ms. In addition, the occurrence times of right/left stance, swing, and stride phases were estimated with a mean error of ‒6 ms ± 15 ms, ‒5 ms ± 17 ms, and ‒6 ms ± 17 ms, respectively. The accuracy and precision achieved by the extraction algorithm for healthy subjects, the simplification of the hardware (through the reduction of the number of accelerometer units required), and the validation results obtained, convince us that the proposed accelerometer-based system could be extended for assessing pathological gait (e.g., for patients with Parkinson’s disease). [less ▲]

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See detailTests of a new drowsiness characterization and monitoring system based on ocular parameters
François, Clémentine ULg; Hoyoux, Thomas ULg; Langohr, Thomas ULg et al

in International Journal of Environmental Research and Public Health (2016)

Detailed reference viewed: 40 (18 ULg)