Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Olivier Gibaru"'
Publikováno v:
IEEE Access, Vol 7, Pp 39564-39582 (2019)
This paper presents a literature review on pattern recognition of electromyography (EMG) signals and its applications. The EMG technology is introduced and the most relevant aspects for the design of an EMG-based system are highlighted, including sig
Externí odkaz:
https://doaj.org/article/2f6195ddf1e64a51a1100f42bcb4ee58
Online recognition of gestures is critical for intuitive human-robot interaction (HRI) and further push collaborative robotics into the market, making robots accessible to more people. The problem is that it is difficult to achieve accurate gesture r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2147902c674e4c202c1976a821c0936c
http://arxiv.org/abs/2304.06777
http://arxiv.org/abs/2304.06777
We propose a novel way of solving the issue of classification of out-of-vocabulary gestures using Artificial Neural Networks (ANNs) trained in the Generative Adversarial Network (GAN) framework. A generative model augments the data set in an online f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27a7a54144f36d29419f1016fab91bec
Autor:
Amélie Beauville dit Eynaud, Laurent Durville, Lionel Roucoules, Nathalie Klement, Olivier Gibaru
Publikováno v:
International Journal of Advanced Manufacturing Technology
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2021, ⟨10.1007/s00170-021-08030-1⟩
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2021, ⟨10.1007/s00170-021-08030-1⟩
International audience; Enterprises now face a global, dynamic, and unpredictable economic environment. In response to quick changes of the demand, the production needs to have the ability to adapt rapidly to meet the production requirements. The Rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5124e065e4f480acb0090ace50db70a
https://doi.org/10.1007/s00170-021-08030-1
https://doi.org/10.1007/s00170-021-08030-1
Publikováno v:
Advances on Mechanics, Design Engineering and Manufacturing IV ISBN: 9783031159275
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e91e9a247cc6f0c2bdfb55cf708b5491
https://doi.org/10.1007/978-3-031-15928-2_36
https://doi.org/10.1007/978-3-031-15928-2_36
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89e11a57f905801c30653302ebce5974
https://doi.org/10.23919/ccc55666.2022.9902682
https://doi.org/10.23919/ccc55666.2022.9902682
Publikováno v:
Neurocomputing. 423:551-571
Recently, a common starting point for solving complex unsupervised image classification tasks is to use generic features, extracted with deep Convolutional Neural Networks (CNN) pretrained on a large and versatile dataset (ImageNet). However, in most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1c0b48022eee774bfc4390d3367408
https://doi.org/10.1016/j.neucom.2020.10.068
https://doi.org/10.1016/j.neucom.2020.10.068
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 110:523-541
Due to the notable advantages of ultrasonic-assisted machining, this technology is being more and more adopted in different manufacturing processes. Aramid honeycomb structures are among materials for which ultrasonic-assisted machining has become an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cb2578bd55a85b8d6ce8c834682a936
https://doi.org/10.1007/s00170-020-05855-0
https://doi.org/10.1007/s00170-020-05855-0
Autor:
Anthony Quenehen, Nathalie Klement, Amine Mohamed Abdeljaouad, Lionel Roucoules, Olivier Gibaru
Publikováno v:
International Journal of Production Research
International Journal of Production Research, 2022, 2022, pp.1-15. ⟨10.1080/00207543.2022.2039795⟩
International Journal of Production Research, 2022, 2022, pp.1-15. ⟨10.1080/00207543.2022.2039795⟩
International audience; Collaborative robots have open new ways of designing assembly processes, thanks to their ability to share work space with operators. not only may they support the economical performance, but they can also improve the overall e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec9f7cb63fa7502966480f9eec611c5c
https://hal.science/hal-03871617/document
https://hal.science/hal-03871617/document
Publikováno v:
Pattern Recognition Letters. 128:45-51
Online gesture classification can rely on unsupervised segmentation in order to divide the data stream into static and dynamic segments for individual classification. However, this process requires motion detection calibration and adds complexity to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aba5f3c4c46c96b4b3da378a60777111
https://doi.org/10.1016/j.patrec.2019.07.021
https://doi.org/10.1016/j.patrec.2019.07.021