Activity Name:

Movement Signals and AI - (V. Rozand)

Course thumbnail
University:  Université Bourgogne Europe
Activity Type:  MOOC
Knowledge Category:  Natural Sciences, Mathematics And Statistics
Language(s):  English
Subtitles Language(s):  ---
Estimated Workload (hours):  20
Max. Participants:  Unlimited
Teacher(s):  Vianney Rozand ; Stéphanie Bricq, Elizabeth Thomas, Pauline Hilt, Nicolas Babault, Hervé Assadi, Yannick Benezeth, Olivier Laligant, Jérémie Gaveau
Start Date:  03/12/24 00:00
End Date:  03/12/24 00:00
Enrollment Method:  Open
Course Description:

This course is an introduction to the Winter School Movement Signals and AI in Dijon, France. The first aim of this series of videos is to understand the different kinds of human physiological signals that can be acquired with non-invasive technics, such as electromyography, electroencephalography, heart rate, position (GPS/LPS) and kinematics. The second aim is to present different possibilities to process these signals with a wide range of complexity, such as signal processing in the time domain, transforms, nonlinear dynamics analyses, feature extraction and artificial intelligence.

The overall goal of this course is to understand all the chain from the acquisition of a human physiological signal to its analysis and its interpretation, with a wide range of possibilities depending of each interest.