Human activities classification based on ?-OTDR system by utilizing gammatone filter cepstrum coefficient envelope using support vector machine

• Main Authors: Saleh N.L., Faisal B., Yusri M.S., Sulaiman A.H., Ismail M.F., Nik Zulkefli N.A.H.A., Muhamud-Kayat S., Ismail A., Abdullah F., Jamaludin M.Z., Aripin N.M.
• Other Authors: 57198797134
• Format: Article
• Published: Elsevier Ltd 2024
• Subjects: Distributed acoustic sensor; Energy infrastructure; Gammatone filter cepstral coefficient; Phase optical time-domain reflectometry; Support vector machine; Classification (of information); Feature extraction; Permittivity measurement; Reflection; Reflectometers; Signal to noise ratio; Time domain analysis; Acoustic Sensors; Cepstral coefficients; Energy infrastructures; Gammatone filters; Human activities; Optical time domain reflectometry; Support vectors machine; Support vector machines

Intrusion into the critical energy assets area is a serious problem that may cause essential operations to be disrupted. Besides using closed-circuit television to detect early intrusion, perimeter fencing using fiber optic distributed acoustic sensing is becoming popular. This paper proposes a phas...