Smart Sound Sensor to Classify Infant Cries

A tétel rövid nézete
dc.contributor.advisorGabór, Battistig
dc.contributor.authorMwangi, Lee Samuel
dc.contributor.departmentDE--Természettudományi és Technológiai Kar--Fizikai Intézet
dc.date.accessioned2022-11-17T10:29:23Z
dc.date.available2022-11-17T10:29:23Z
dc.date.created2022-11-14
dc.description.abstractThis thesis describes the process for implementing a smart sound sensor to categorize baby cries according to their fundamental frequencies. This is accomplished by integrating a sound sensor module with the digital signal processing software LABVIEW. An algorithm is created to determine the fundamental frequency after the sampled signal is conditioned to match the baby's cry's bandwidth. This program determines the phonation and hyperphonation of a cry by comparing the fundamental frequency values with benchmark values from literature reviews. LEDs actuated by an Arduino microprocessor are used to output the cry characteristics through light. The measurements also undergo statistical analysis.
dc.description.courseElectrical Engineering
dc.description.degreeBSc/BA
dc.format.extent72
dc.identifier.urihttps://hdl.handle.net/2437/340881
dc.language.isoen
dc.subjectSound Sensor
dc.subjectLABVIEW Programming
dc.subjectFundamental Frequency
dc.subjectPhonation
dc.subjectHyperphonation
dc.subjectDigital Signal Processing
dc.subjectArduino Programming
dc.subjectCircuit Simulation
dc.subjectElectronics
dc.subjectActuation
dc.subject.dspaceDEENK Témalista::Műszaki tudományok
dc.subject.dspaceDEENK Témalista::Informatika
dc.subject.dspaceDEENK Témalista::Fizika
dc.titleSmart Sound Sensor to Classify Infant Cries
dc.title.translatedHangérzékelő fejlesztése, amely osztályozza a csecsemősírásokat
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