Gudmundur Einarsson: There is a strong hypothesis that people with schizophrenia have motion disorders, both drug and non-drug related.
The aim of this thesis is to use the Kinect sensor to acquire data from schizophrenic patients and
healthy controls to quantify the movements in motor disorders. A game has been developed that makes the
player go through certain motions by moving the limbs in the upper body. The data collected will be used to
develop and train a machine learning algorithm to quantify the likelihood of a person having schizophrenia
or not.
This PhD project runs in parallel with a clinical PhD project where the goal is to assess motor
problems in young adults with diagnosed mental illnesses.
Effective start/end date 15/08/2014 → 16/05/2018
Published as PhD report: Sparse Classification - Methods & Applications
Supervisor: Rasmus Reinhold Paulsen, Line K.H. Clemmensen
Section for Statistics and Data Analysis