Even though infants below 6 months of age are not able to move around, the seemingly random movement patterns of the head, arms and legs are a critical part of the infant’s motor development.
These movements are the building-stones for later motor skills and are essential for the infant. If certain motor milestones are not met or if the movements are abnormal, this can be an indication for a motor disorder such as cerebral palsy.
A relatively large number of infants has been recorded with a motion capture system, capturing the movements of infants during a 3-10 minutes period.
The project will focus on uncovering possible measures of motor development and infant’s abilities to meet certain age-related motor milestones, based on the results from the motion capture system.
The data are time-signals of spatial locations of the infant’s joints and extremities, as well as angular parameters in the joints.
Required qualifications: Knowledge of; Matlab or similar, data analysis, machine learning
Contact information: Mikkel Damgaard Justiniano, Industrial Postdoc, firstname.lastname@example.org
Allowed no of students: 1-2
In collaboration withUniversity of Copenhagen