Abstract
We propose a method for personal identification based on hand-waving. The main contribution of this paper is how the people that wave a hand repeatedly can be identified using frequency features. We first construct a time series of hand low-resolution images. Next, frequency features are extracted from time series of hand low-resolution images applying FFT. Finally, our method computes the similarity of model data and test data using cone-restricted subspace method. In several experiments, we try to identify the person who waves a hand and show the accuracy of the proposed method.
