Summary

The lecture presents an overview of the state of the art in the analysis and modeling of human locomotion and the underlying motor circuits. Multiple aspects are considered including neurophysiology, gait characterization, biomechanics, numerical modeling, neuroprosthetics, and links to biped robots

Content

Keywords

Neurophysiology, motor system, locomotion, kinematics, gait analysis,MATLAB, numerical modeling, robotics, neuroprosthetics

Learning Prerequisites

Recommended courses

Physics I,II,III,IV, MATLAB, Basic physiology and biology

Learning Outcomes

By the end of the course, the student must be able to:

• Assess / Evaluate human locomotion
• Formalize the underlying biomechanical and neural components
• Design models of human locomotion

Teaching methods

Ex cathedra lectures. The practical work including three series of assigments that involve programming with MATLAB, recording human locomotion, followed by kinematic, kinetic, and EMG data analyses. The student should provide a separate report for each part for evaluation. Grades are based on the practicals.

Expected student activities

• Attending lectures
• Processing and analysing of motion data
• Testing numerical models
• human experiments

Assessment methods

Obligatory continuous grading of practical reports

Supervision

Resources

Bibliography

Research Methods in Biomechanics, Gordon Robertson et al., Human Kinetics

Ressources en bibliothèque

• Research Methods in Biomechanics
• Biomechanics and motor control of human movement / Winter