Cadence analysis of temporal gait patterns for seismic discrimination

作者: Alireza A. Dibazar , Theodore W. Berger , Hyung O. Park

DOI:

关键词: SignalGait patternVibrationPattern recognitionArtificial intelligenceVibration sensorSpeech recognitionStatistical classifierCadenceEngineering

摘要: Systems, methods, and apparatus are described that provide for analysis of seismic data. Features temporal gait patterns can be extracted from seismic/vibration A mean pattern determined. statistical classifier used to model features the The classify As a result, discrimination sources performed. Systems data also described. system include vibration sensor configured arranged detect vibrations. processor receive sensor, recognize as belonging particular class data, produce an output signal corresponding recognized

参考文章(24)
James M. Sabatier, Carl K. Frederickson, Alexander E. Ekimov, Methods for detecting humans ,(2007)
Jeffrey R. Heberley, Anthony G. Rotolo, Myron M. Hohil, Jay W. Chang, Method for detecting extended range motion and counting moving objects using an acoustics microphone array ,(2003)
Theodore W. Berger, Jim-Shih Liaw, Dynamic synapse for signal processing in neural networks ,(1998)
Alireza Dibazar, Theodore W. Berger, Bing Lu, Detection and classification of running vehicles based on acoustic signatures ,(2008)
Li Deng, Alejandro Acero, James G. Droppo, Method of iterative noise estimation in a recursive framework ,(2002)
Jefferson Burch, Bruce Hamilton, Andrew Fernandez, Dieterich Vook, Acoustic location and enhancement ,(2006)
Fred Holmes, Ken Fisher, Kevin Baxter, System and method for precision acoustic event detection ,(2005)