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Anders Kullmann Klok

Matias Søndergaard

Jakob Balslev

Maziar Taghiyar-Zamani

Peter Lundholm Jensen

Lasse Petersen

In one aspect, a computerized process useful for movement classification using a motion capture suit includes the step of providing the motion capture suit worn by a user. The motion capture suit comprises a set of position sensors and a Wi-Fi system configured to communicate a set of position sensor data to a computing system. The process includes the step of providing the computing system to: receive a set of position data from the motion capture suit for a specified time window of data comprising X, Y and Z axis positions and a joints-angle data for each position sensor of the set of position sensors, transforming each joints-angle data to a corresponding frequency domain using a fast Fourier transformation to remove any time dependency value, after the fast Fourier data transformation, train a support vector machine using the X, Y and Z axis positions data and the frequency domain data as input, using the support vector machine to predict a set of body positions and movements.

Methods and systems of real time movement classification using a motion capture suit

In one aspect, a method of a motion-capture body suit include the step of providing a motion-capture body suit, wherein the motion-capture body suit comprises a plurality of position sensors, wherein each position sensor of the plurality of position sensors obtains a position of an associated body area, wherein each position sensor is integrated into a textile tunnel located on the associated body are of each position sensor. The method includes the step of obtaining a set of sensor-level position data from the plurality of position sensors as a series of position measurements observed over a specified period of time. The method includes the step of obtaining a body-level position data as another series of body-position measurements observed over the specified period of time. The method includes the step of combining the set of sensor-level position data and the body-level position data using a Kalman filter to produce a body-motion output stream. The method includes the step of rendering an image data of a virtual representation of a user wearing the motion-capture suit.

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Copenhagen, Denmark

Anders Kullmann Klok