Source localization on solids utilizing time-frequency analysis of parameterized warped signals

Abstract

We propose a new approach for source localization on solids with applications to human-computer interface. We analyze the wave propagation of flexural modes of vibration, generated by an impact on a solid surface, to characterize the dispersive linear time-varying system having non-linear phase response. We show that a difference in dispersion between two signals propagating through solids can be mapped directly to the relative propagation distance if the signals are appropriately time-warped. We then exploit this important property for source localization by computing the similarity of the warped signals in the time-frequency domain. As the proposed source localization algorithm jointly estimates warping-based polynomial parameters and source location, the method does not require pre-calibration.Index Terms-Human-computer interaction, frequency dispersion, source localization on solids, unitary warping.

Vibration source classification and propagation distance estimation system based on spectrogram and KELM

“…Significant research efforts have been devoted to the surface vibration signals processing due to their wide applications [1][2][3][4][5][6]. To name a few, Sun et al [1] investigated an instrumentation system for on-line non-intrusive detection of wood pellets in pneumatic conveying pipelines based on vibration and sound analysis.…”

“…Qu et al [2] developed a new vibration detection method for the measurement of optical fibre vibration based on the background homogeneity adaptive constant false alarm rate (BHA-CFAR) method. Arun et al [3] researched the wave propagation of flexural modes of vibration generated by an impact on a solid surface, and propose a new approach for vibration source localisation based on flexural modes. George et al [4] pointed out the significance of vibration signal processing in footstep detection and developed a statistical feature-based footstep detection algorithm in a noisy environment.…”