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Proceedings Paper

Neurophysiological-based signals analysis for Level 5 User Refinement for target localization
Author(s): Erik P. Blasch
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Paper Abstract

The human brain fuses information from a variety of modalities to locate, track, and identify targets. Vision- based tracking, which uses a 2D signal, is able to accurately identify and locate objects, however it requires more processing time than 1D auditory systems. Auditory systems can locate and identify objects based on interaural time difference (ITD) and interaural intensity difference (IID) fusion. In order to investigate the advantages of a neurophysiology-based fusion model, we seek to localize a target from a 1D signals analysis conducted over repeated measurements where a user is allowed move sensors. Similar to the human fusing auditory information from the ears, we seek to fuse information over time and space from two sensors monitoring a single target. Through spatiotemporal fusion from the 1D analysis, we show how ITD and IID fusion functions support a Level 5 User Refinement task.

Paper Details

Date Published: 6 March 2002
PDF: 10 pages
Proc. SPIE 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI, (6 March 2002); doi: 10.1117/12.458391
Show Author Affiliations
Erik P. Blasch, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 4731:
Sensor Fusion: Architectures, Algorithms, and Applications VI
Belur V. Dasarathy, Editor(s)

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