Projekt

Pattern classification and recognition on motion tracking data of infants

Udbyder

Vejleder

Sted

København og omegn

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, mdol@elsassfonden.dk

Allowed no of students: 1-2

I samarbejde med

University of Copenhagen

Søg i opslag
Kontakt

Virksomhed/organisation

DTU Sundhedsteknologi

Navn

Nina Kjærgaard

Stilling

Specialkonsulent

Mail

ninak@dtu.dk

Vejleder-info

Bachelor i Medicin og Teknologi

Vejleder

Nina Kjærgaard

Type

Bachelorprojekt, Kandidatspeciale

Kandidatuddannelsen i Medicin og Teknologi

Vejleder

Nina Kjærgaard

Type

Bachelorprojekt, Kandidatspeciale

OM DTU

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CVR-nr. 30 06 09 46

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