Neural network classification for detecting abnormal events in a public transport vehicle

• Main Authors: Dadula, Cristina P., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2016
• Subjects: Sound—Analysis; Audio data mining; Buses—Transmission devices, Automatic; Buses—Safety measures; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2032
• Institution: De La Salle University

A method to detect an abnormal situation inside a public transport bus using audio signals is presented. Mel Frequency Cepstral Coefficients (MFCC) were used as a feature vector and a multilayer backpropagation neural network as a classifier. Audio samples were taken inside the bus running along Epi...