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In this paper, a new feature fusion method for gesture recognition based on single tri-axis accelerometer has been proposed. The process can be explained as follows: firstly, the short-time energy (STE) features are extracted from accelerometer data. Secondly, the hybrid features which combines wavelet packet decomposition with Fast Fourier transform (WPD+FFT) are also extracted. Finally, these two...
This paper proposes a gesture recognition system based on single tri-axis accelerometer mounted on a cell phone for human computer interaction (HCI). Three feature extraction methods, namely discrete cosine transform (DCT), fast Fourier transform (FFT) and a hybrid approach which combine wavelet packet decomposition (WPD) with fast Fourier transform are proposed. Recognition of the gestures is performed...
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