Abstract Search

ISEF | Projects Database | Finalist Abstract

Back to Search Results | Print PDF

Aural Real-Time Position: Determining Model and Influencing Factors

Booth Id:
ETSD014

Category:
Engineering Technology: Statics & Dynamics

Year:
2023

Finalist Names:
Chen, Alex (School: Marquette High School)

Abstract:
This experiment demonstrates the implementation of a low-cost, binaural-based object tracking system that has an accuracy rivaling or surpassing that of GPS, performing best in environments that are small-scale, low-noise, and contain minimal obstructions. This research continues on the prevalent aural methods for creating machine representations that mimic the human ear’s ability to determine the position of a sound source. This research addresses multiple research and development gaps that have been noted in the engineering community, particularly in creating a more economical position-tracking system for small-scale applications, which addresses the concerns of Yilmaz et al., 2006, as well as the testing of factors that could influence a sound-tracking system, addressing the concerns of Smith, 2021. Tested factors included the number of axes, the distance between the adjacent antenna, spatial interference, and sound interference, all of which were found to have a significant impact on the model's performance.