Pattern classification and recognition on motion tracking data of infants




Greater Copenhagen area

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,

Allowed no of students: 1-2

In collaboration with

University of Copenhagen

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Company / Organization

DTU Sundhedsteknologi


Nina Kjærgaard




Supervisor info

BSc in Biomedical Engineering


Nina Kjærgaard


BSc project, MSc thesis

MSc in Biomedical Engineering


Nina Kjærgaard


BSc project, MSc thesis

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.

Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

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