Subject Study: The whole-body control framework for lower extremity rehabilitation stability in Computational
Employers: LIRMM-INRIA
Level: PhD
Scholarship Description: INRIA is the National Institute for Research and Technical English control in computer science. DEMAR research interests, projects are on the human sensory motor Modeling Center, How Muscles, sensory feedback, motor and neural networks.
Research direction:
Identification of dynamic biomechanical and muscle dynamics of Neurological Damaged IS've patient is already challenging the system
Canon Vary drastically I reaction by the patient's lack of degree. In FES (Functional Electrical Stimulation) movement
Synthesis and lines, still due to the complexity Difficult task closure calculation of whole-body dynamics and die nonlinearity
stimulated muscle dynamics. One of the challenges for the feedback (torque, EMG, joint angle) die, the common angle can be controlled
Gold torque stiffness. In addition, make reduction strategies, um architecture are set tuned portable and Performed by
Advanced modeling and simulation.
In this context, it is the aim of this thesis to optimize the examination-based Motion Synthesis real-time control and framesets
Canon Welsch Erland generate stimulation patterns previously calculated from the motion synthesis database. Motion-capture system used in conjunction with the estimation of Center of Mass would, um die Rate strategies. This work die like development of the automatic method is aimed to establish stability deficient in computer-aided rehabilitation element.
This dissertation is under the project with DM Namur common Performed @ Walk (go artificial) interim and project INRIA DEMAR the AI Lab
Stanford University.
Research background:
-Master in control engineering, computer science, biomechanics, robotics or related disciplines.
- good knowledge of C/C++ programming and matlab.
Scholarship Application Deadline: Contact Employer
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