Implementation of acoustic source localization on smart devices
Acoustic source localization (ASL) estimates the sound source position by processing the signal obtained from spatial distinct microphones. Implemented ASL in Java program, this project produces a RaspberryPi (RPi) toy car for dog exercise. An Android-based application is also developed to control t...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/61421 |
| _version_ | 1811677816959270912 |
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| author | Chen, XiaoYu |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Chen, XiaoYu |
| author_sort | Chen, XiaoYu |
| collection | NTU |
| description | Acoustic source localization (ASL) estimates the sound source position by processing the signal obtained from spatial distinct microphones. Implemented ASL in Java program, this project produces a RaspberryPi (RPi) toy car for dog exercise. An Android-based application is also developed to control the car direction.
Two approaches of ASL, TDOA approach and beamforming approach, have been taken to acquire a better result. Beamforming are used in the final product as it is simpler, faster and does not require the knowledge of initial source direction.
This project is done by three members. The software development and the microphone part of hardware are done by the author, which will be elaborated in detail in the following chapters. |
| first_indexed | 2024-10-01T02:43:23Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/61421 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:43:23Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/614212023-07-07T17:12:39Z Implementation of acoustic source localization on smart devices Chen, XiaoYu School of Electrical and Electronic Engineering Khong, Andy W. H. DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Acoustic source localization (ASL) estimates the sound source position by processing the signal obtained from spatial distinct microphones. Implemented ASL in Java program, this project produces a RaspberryPi (RPi) toy car for dog exercise. An Android-based application is also developed to control the car direction. Two approaches of ASL, TDOA approach and beamforming approach, have been taken to acquire a better result. Beamforming are used in the final product as it is simpler, faster and does not require the knowledge of initial source direction. This project is done by three members. The software development and the microphone part of hardware are done by the author, which will be elaborated in detail in the following chapters. Bachelor of Engineering 2014-06-10T03:46:39Z 2014-06-10T03:46:39Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61421 en Nanyang Technological University 68 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Chen, XiaoYu Implementation of acoustic source localization on smart devices |
| title | Implementation of acoustic source localization on smart devices |
| title_full | Implementation of acoustic source localization on smart devices |
| title_fullStr | Implementation of acoustic source localization on smart devices |
| title_full_unstemmed | Implementation of acoustic source localization on smart devices |
| title_short | Implementation of acoustic source localization on smart devices |
| title_sort | implementation of acoustic source localization on smart devices |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/61421 |
| work_keys_str_mv | AT chenxiaoyu implementationofacousticsourcelocalizationonsmartdevices |