Project

Creating a Baby-Kinect

Publisher

Supervisor

Location

Greater Copenhagen area

When the Kinect from Microsoft came out in 2010, the most impressive feature was the fast motion capture algorithm built into the sensor, enabling realtime motion capture from a single depth-image.

The backbone for the algorithm was a relatively simple classifier, trained on thousands of depth-images of people doing different postures.
In this project, the student should use similar data to re-create the Kinect, but instead of focusing on adults, the data will consist of data from infants, which the Kinect currently isn’t able to detect in realtime.

A relatively large number of infants has been recorded with a 3D camera (Microsoft Kinect), capturing the movement of infants during a 3-10 minutes period. Using this dataset, the student should develop methods for fast segmentation of the infant’s different bodyparts, like what the Kinect can do with adults. The student should consider different image features related to so-called depth images and train a classifier for automatic segmentation and classification of the infant’s body. 

Required qualifications: Knowledge of; Matlab or similar, image analysis, neural networks, machine learning

Contact information: Mikkel Damgaard Justiniano, Industrial Postdoc, mdol@elsassfonden.dk

Allowed no of students: 1-2


In collaboration with

University of Copenhagen

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Contact

Company / Organization

DTU Sundhedsteknologi

Name

Nina Kjærgaard

Position

Specialkonsulent

Mail

ninak@dtu.dk

Supervisor info

BSc in Biomedical Engineering

Supervisor

Nina Kjærgaard

Type

BSc project, MSc thesis

MSc in Biomedical Engineering

Supervisor

Nina Kjærgaard

Type

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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Denmark



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CVR-nr. 30 06 09 46

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