Android based sound localization on smart devices (front-end)

With the advent of technology, locating an acoustic source is no longer solely dependent on the human ears. Greater precision can be achieved using Acoustic Source Localization (ASL). In this final year project, a Radio-Controlled car (RC car) will be integrated with the ASL system that is b...

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Bibliographic Details
Main Author: Koh, Wen Xin
Other Authors: Andy Khong Wai Hoong
Format: Final Year Project (FYP)
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/61261
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author Koh, Wen Xin
author2 Andy Khong Wai Hoong
author_facet Andy Khong Wai Hoong
Koh, Wen Xin
author_sort Koh, Wen Xin
collection NTU
description With the advent of technology, locating an acoustic source is no longer solely dependent on the human ears. Greater precision can be achieved using Acoustic Source Localization (ASL). In this final year project, a Radio-Controlled car (RC car) will be integrated with the ASL system that is based on the Beamforming algorithm. ASL is prevalently used with a stationary acoustic receiver to detect a moving sound source. This project is set to develop a hardware system that is able to respond to 2 functions, the user control using an Android mobile device and the ASL Java program to locate the direction of sound source from its environment. This report focuses on the hardware development of the RC car. The hardware of this RC car system is developed based on the Raspberry Pi, and the RC car’s motion is programmed using Python 2.7 on the Raspbian interface. This includes the use of a H-bridge motor driver for the user control using an Android mobile device, and electret microphones and Analog-to-Digital Converter (ADC) for sound localization using the ASL Java program on the RC car.
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spelling ntu-10356/612612023-07-07T17:28:52Z Android based sound localization on smart devices (front-end) Koh, Wen Xin Andy Khong Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering With the advent of technology, locating an acoustic source is no longer solely dependent on the human ears. Greater precision can be achieved using Acoustic Source Localization (ASL). In this final year project, a Radio-Controlled car (RC car) will be integrated with the ASL system that is based on the Beamforming algorithm. ASL is prevalently used with a stationary acoustic receiver to detect a moving sound source. This project is set to develop a hardware system that is able to respond to 2 functions, the user control using an Android mobile device and the ASL Java program to locate the direction of sound source from its environment. This report focuses on the hardware development of the RC car. The hardware of this RC car system is developed based on the Raspberry Pi, and the RC car’s motion is programmed using Python 2.7 on the Raspbian interface. This includes the use of a H-bridge motor driver for the user control using an Android mobile device, and electret microphones and Analog-to-Digital Converter (ADC) for sound localization using the ASL Java program on the RC car. Bachelor of Engineering 2014-06-06T07:31:32Z 2014-06-06T07:31:32Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61261 en Nanyang Technological University 80 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Koh, Wen Xin
Android based sound localization on smart devices (front-end)
title Android based sound localization on smart devices (front-end)
title_full Android based sound localization on smart devices (front-end)
title_fullStr Android based sound localization on smart devices (front-end)
title_full_unstemmed Android based sound localization on smart devices (front-end)
title_short Android based sound localization on smart devices (front-end)
title_sort android based sound localization on smart devices front end
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/61261
work_keys_str_mv AT kohwenxin androidbasedsoundlocalizationonsmartdevicesfrontend