  We present the application of Principal Component Analysis for data acquired
during the design of a natural gesture interface. We investigate the concept of
an eigengesture for motion capture hand gesture data and present the
visualisation of principal components obtained in the course of conducted
experiments. We also show the influence of dimensionality reduction on
reconstructed gesture data quality.
