Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77079
Title: The augmented human : seeing sounds
Authors: Nurazhar Maarof
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2019
Abstract: Human ears can hear sound from range frequency of 20Hz to 20kHz. They discerns between ringing of a telephone to the sound of lion’s roar. It is also capable of tracking the sounds, providing the person a rough estimation where the direction is and to confirm it source, the person only needs to view it direction. However being impaired in hearing would disabled the person from such ability. In this project, the possibility of means to using readily available technology as a substitute to sourcing the direction of sounds through merging the signal and image processing. Using portable devices such Raspberry Pi as the computation power, camera module to stream the images and MATRIX Creator for its embedded microphones to capture the audio. With testing and implementation of the system using 2 methods to merge merging the signal and image processing, using Normalized Device Coordinate (NDC) provides a better result which able to highlight any given sound and track its movement.
URI: http://hdl.handle.net/10356/77079
Schools: School of Computer Science and Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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