Analysis and Classification of Data from 3D Morpho-Functional Assessments

The digital and bio-mechanical analysis of human motion is an attractive research field as it helps one understand and interpret pathologies affecting the body’s articular components. The goal of this project is to develop data analysis and automatic classification methods to differentiate between data from asymptomatic and pathological individuals. The data will be drawn from 3D morpho-functional assessments. Developed methods could eventually be considered for the creation of decision support and pathology diagnosis tools.

Intern: 
Neila Mezghani
Faculty Supervisor: 
Dr. Jacques A. de Guise
Province: 
Quebec
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