Title :
Recognizing hand gesture using Fourier descriptors
Author :
Harding, P.R.G. ; Ellis, T.J.
Author_Institution :
Buckinghamshire Chilterns Univ. Coll., UK
Abstract :
This paper describes a novel application of Fourier descriptor techniques for the recognition of hand gesture trajectories. Appearance based coordinates of hand centroids and time steps are normalized to a fixed length by multirate techniques. Fourier techniques are applied to the data to produce frequency domain data that is scale and translation invariant. The results of inputting the complex harmonic data to a probabilistic neural network for gesture classification are discussed. An understanding of underlying structure of gesture trajectories can be gained from modeling them as an infinite set of ellipses at given orientations. The rotation of the ellipses is visualized in the time domain as ´elliptic corkscrews´.
Keywords :
Fourier analysis; frequency-domain analysis; gesture recognition; neural nets; pattern classification; time-domain analysis; Fourier descriptor techniques; elliptic corkscrews; frequency domain data; gesture classification; hand gesture recognition; multirate techniques; probabilistic neural network; time domain analysis; Aircraft; Data visualization; Educational institutions; Fourier transforms; Frequency domain analysis; Information systems; Interpolation; Libraries; Neural networks; Shape;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334523