Annonce en lien avec l’Action/le Réseau : Doctorants
Laboratoire/Entreprise : GREYC
Durée : 14 mois
Contact : luc.brun@ensicaen.fr
Date limite de publication : 2020-02-31
Contexte :
The postdoctoral position is funded under the research project
IGIL supported by the Region Normandy (France). The IGIL project
gathers companies, engineering schools and universities around the
design of new generation human/computer interfaces using tactile
and non tactile recognition of gestures.
The present post doc is focused on non tactile interactions by the
recognition of gestures implying both hands and arms.
Sujet :
Background:
3D gesture recognition is becoming more and more popular and is now
integrated in commercial solutions such as gesture control in cars
like BMW. However, gesture recognition may be applied in a much wider
set of applications where complex interactions (which can not be
easily performed by voice) occur and where a tactile contact with the
screen is not possible or not convenient. The IGIL project falls
within that line of research and aims at developing a generic and
innovative intelligent 3D gesture recognition system able to
recognized complex gestures made by both hands with an identification
of individual fingers.
Objectives and challenges:
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The project will be based on available commercial tools to extract the
skeleton of the arms / fingers. This point is thus not an objective of
the post doc who will focus his work on the recognition step.
The first step will consist to assimilate the methods and
algorithms for gesture recognition and prediction already
developed by the team. Based on these method, the postdoc will
have to develop methods for online gesture recognition. This last
step includes the conjoint recognition of gestures and the
segmentation of the gesture stream.
Work plan:
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As previously mentioned , the position will start by a state of
the art and an understanding of the deep learning methods already
developed by the team. This first step should take 2 months and
will allow to provide first results to the other partners of the
project. The second step, evaluated to 11 months will consist
in designing a deep learning architecture and to train it in
order to perform online recognition of gestures. The last step, evaluated to
1 month, will consists in designing a functional prototype and to
evaluate its performances (in terms of size of the training set,
precision and recall) to be distributed among the members of the
project.
Profil du candidat :
Interpersonal skills and the ability to work well individually or as a member of a project team are recommended.
Good written and verbal communication skills are required, the
candidate has to be fluent in spoken French or English and written
English. Working language can be English or French.
Formation et compétences requises :
The candidate must have a recent Ph.D. (within 5 years) in Computer Science (or Applied Mathematics) in the field of Machine Learning.
Knowledge and experience within Deep Learning frameworks is highly recommended.
The candidate will perform research and algorithmic developments and
solid programming skills are required.
Adresse d’emploi :
Location:
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GREYC-ENSICAEN
6 Boulevard du Maréchal Huin
14050 Caen
Situated in the Normandy region of France close to the sea and about 240km west of Paris Caen still has many old quarters, a population of
around 120,000 the city area has roughly 250,000 inhabitants.
Some photos: https://caen.maville.com/info/detail-galerie_-Caen-en-images-_344_GaleriePhoto.Htm