|SCIENTIFIC DISCIPLINARY SECTOR||ING-INF/06|
|LANGUAGE||Italian (English on demand)|
The course covers essential physiological aspects, experimental and computational methods for the quantitative study of human movement and more in general sensorimotor performance.
Technologies, methods, models for the analysis and quantification of human performance, with particular reference to motor control. Three-dimensional analysis of movements. Physiology and physiological signals in motor control. Neural movement control and motor learning.
The course provides the essential physiological background and knowledge of
for the analysis of human movements, their neural correlates and other related aspects of human performance.
There are no formal prerequisites, but students are expected to have a solid background of calculus, linear algebra, mechanics and biomedical signal analysis
Lectures, supervised lab activities.
In the Wearable devices Lab, students will learn basic skills to develop a wearable device with sensors, actuators and internet connectivity to measure and/or modify human performance.
A. Human movement
B. Muscle mechanics and control
C. Single- and multi-joint neuromechanics
D. Computational motor control
E. Motor learning
F. Wearable devices lab
VITTORIO SANGUINETI (President)
MARCO MASSIMO FATO (President Substitute)
End-February 2021. Check the course calendar for class hours
All class schedules are posted on the EasyAcademy portal.
Written exam (weight 50%)
Project work (weight 50%)
The project work will be assessed interms of: