PhD opportunities

Adaptive interaction in augmented reality using machine learning

Thesis proposal

Area of expertiseReal-time computer science, robotics,systems and control - Paris
Doctoral SchoolSystems Engineering, Materials, Mechanics, Energy
SupervisorM. Alexis PALJIC
Research unitMathematics and Systems
Starting dateOctober 1st 2020
KeywordsAugmented reality, Learning, Assistance, Machine learning, Behavior analysis, Scene analysis
AbstractIn the context of industrial maintenance, this thesis seeks to propose new interaction methods for two use cases. 1) for the learner, adapt assistance level or learning scenario to his understanding of the industrial task at hand. 2) for the trainer, help 3D scene construction by automatic semantization of the scene. In both cases, the use machine learning will be evaluated : automatically assess the level of understanding of the trainee, automatically recognize objects and their position in space.
ProfileGeneral Education :
-Engineering School or Master
-Autonomous and rigorous
-Proficiency in synthesis, writing and oral expression
-Good English skills

Skills :
The candidate should have skills in one of these areas : machine learning, virtual reality, augmented reality, user experience design, user studies.
Techical skills : C# or C++ programming. Knowledge of game engines (Unity, Unreal) is useful but not mandatory to apply.
FundingConvention CIFRE
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