Personnel and vehicle signal sensing based on seismic detection

We address the relationship between seismic signal and the passing-by person or vehicle. This study, from innovation adoption perspective, is based on the analysis of basic theories of Rayleigh wave. For this principle, identification methods for seismic signal detection were introduced. Typically, a sensing system for ground information measuring involves both time-domain and frequency-domain algorithms. Experiments were conducted on 50 footstep samples and 10 automotive samples to show varying output of Rayleigh wave. With the methodology of zero-crossing rate, kurtosis coefficient and the ratio of high- and low-frequency energy applied, a detecting system was therefore obtained. Comparing the outcome with the input data illustrated, the experimental results showed validity and accuracy for commercial use. With the combination of the methods, a device for identifying personnel and vehicle will be available, which served the process of seismic testing laboratory. Its main advantage is to monitor ground condition in a fast and accurate way.