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Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with

Tomasz Hachaj¹, Marcin Piekarczyk¹

¹Institute of Computer Science, Pedagogical University of Krakow, 2 Podchorazych Ave, 30-084 Krakow, Poland.

Sensors (Basel, Switzerland)

|December 11, 2019

Abstract:

The motivation of this paper is to examine the effectiveness of state-of-the-art and newly proposed motion capture pattern recognition methods in the task of head gesture classifications. The head gestures are designed for a user interface that utilizes a virtual reality helmet equipped with an.

Keywords:

IMU sensors dynamic time warping head gestures motion capture pattern recognition principal components analysis quaternions

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