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This paper presents an effective method based on the empirical mode decomposition (EMD) to extract driver's breathing signal from an accelerometer installed on the safety belt. The method has been verified to have consistent results with commercial belt under various driving conditions, where the acceleration from car driving or road bumps has much higher signal power than the desired breathing signal...
This paper presents a complexity-effective HHT IP for embedded real-time applications. The proposed HHT improves the original empirical mode decomposition (EMD) to reduce the interferences between signal components with filtering, similar to that in the wavelet transform. The IMF and residue signals are compacted to reduce computation and storage. Multirate Hilbert spectral analysis (HSA) is performed...
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