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This paper is focused on the hardware and software implementation of DSP algorithms for footstep detection using seismic signal. The main contribution of this research consists in a hardware design and in a software application that process the signals received from the seismic sensor of type SM-24 using PC sound card. The signal samples received from the sensor are stored in a .wav file. The main...
We demonstrate through a pressure sensor matrix, that weight distribution on feet is influenced by body posture. A small cheap carpet equipped with low precision pressure sensor matrix is already sufficient to detect subtle activities and identity of the person on the carpet. By a 0.4 m2 matrix of 32 × 32, 12 bit pressure sensors, we achieve 78.7% accuracy for 11 test subjects performing 7 subtle...
Using signal feature as the prior knowledge can improve spectrum sensing performance. In this paper, we consider signal feature as the leading eigenvector (rank-1 information) extracted from received signal's sample covariance matrix. Via real-world data and hardware experiments, we are able to demonstrate that such a feature can be learned blindly and it can be used to improve spectrum sensing performance...
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