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Content Provider | IEEE Xplore Digital Library |
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Author | Kobayashi, Takumi Hasida, Koiti Otsu, Nobuyuki |
Copyright Year | 2011 |
Description | Author affiliation: National Institute of Advanced Industrial Science and Technology, Tsukuba, 1-1-1 Umezono, Japan (Kobayashi, Takumi; Hasida, Koiti; Otsu, Nobuyuki) |
Abstract | In this paper, we propose a method to extract features from three-dimensional acceleration signals. The proposed method is based on the (auto-)correlation matrix of Fourier transform features, naturally containing the correlations between the frequencies as well as the ordinary power spectrum for each frequency. The proposed features are inherently invariant to both rotational variations and temporal shift (delay), whereas the other methods employ ad hoc preprocessing to increase robustness to those variations. Thereby, we can favorably apply the proposed method to analyze 3-D acceleration signals regardless of the orientations of the accelerometer. In the experiment on gait identification using an accelerometer embedded in a cellular phone, the proposed method outperformed the other methods. |
Starting Page | 3684 |
Ending Page | 3687 |
File Size | 138634 |
Page Count | 4 |
File Format | |
ISBN | 9781457705380 |
ISSN | 15206149 |
e-ISBN | 9781457705397 |
e-ISBN | 9781457705373 |
DOI | 10.1109/ICASSP.2011.5947150 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-05-22 |
Publisher Place | Czech Republic |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Feature extraction Accelerometers Acceleration Correlation Humans Robustness Cellular phones gait recognition Three-dimensional acceleration signal feature extraction auto-correlation matrix rotation invariance |
Content Type | Text |
Resource Type | Article |
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