( Budi Luhur University, Gadjah Mada University, Gadjah Mada University )
Keywords: classification,footsteps,digital fourier transform,power spectral density.
Human activities will produce different types of sounds and vibrations. The sounds and vibrations generated by human activities can be used for various purposes, among others, to identify or to know the position of their presence in a room. In this paper proposed the method for identifying humans by their footsteps. The Identification is done by recognizing sounds and vibrations generated by human footsteps. We also developed algorithm to clasify the detection of the human footsteps recognition, starting from the analysis of sounds and vibrations detection using geophone and microphone. The analysis was necessary to classify sounds and vibrations of footsteps with the sounds and vibrations of the surrounding environment. From this research it is expected to know the traits of human footsteps, henceforth they can be used as identification of a person as the voice of utterance. That is due to the fact that the noise and vibration generated from footsteps are influenced by the weight, distance, shape of the sole of the foot, footsteps rhythm, gait and other factors. The differences in footsteps can be known from the power spectral density of sounds and vibrations generated by footsteps. Every footstep of the human has a certain density of frequency, either from density of sounds or vibrations generated.