Microcontroller-based stand-alone alert recgniton device for the hearing impaired using fast fourier transform

Date of Publication

2017

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Maria Antonette C. Roque

Defense Panel Chair

Oswald L. Sapang

Defense Panel Member

Jay Robert B. Del Rosario

Edwin Sybingco

Abstract/Summary

The effectivity of most devices designed for easier interaction between people and their surroundings is not inclusive when it comes to people with disabilities such as the deaf or hard of hearing (DHH). For the DHH, options are limited when it comes to gadgets involving sound recognition as compared to speech recognition especially those that identify significant warning sounds. Some available notification systems present a disadvantage in that they are mostly wired or transmitter-based systems. This paper presents the development of a portable stand-alone alert recognition device. The designed device can identify high (e.g. fire alarms and sirens) and low priority notification sounds (e.g. doorbells and telephone rings) and can inform the user through visual and vibrational indicators. Collecting most common alert sound and extracting their audio fingerprints trained the device to detect these on the surrounding noise. FFT with spectral peak location was utilized as the core algorithm used in the program. The alert recognition program, audio fingerprints and other hardware components such as microphone, power source, and vibration circuit are integrated to implement the device prototype. Based on the results, the developed device was able to identify the four alert sounds intended in the study with consideration of sound source distance and detection time.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU21943

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

xii, 112 leaves : illustrations ; 28 cm.

Keywords

Microcontrollers; Electronic controllers; Hearing impaired--Means of communication

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