Paper
6 March 2002 Neurophysiological-based signals analysis for Level 5 User Refinement for target localization
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik P. Blasch "Neurophysiological-based signals analysis for Level 5 User Refinement for target localization", Proc. SPIE 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI, (6 March 2002); https://doi.org/10.1117/12.458391
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Data modeling

Data fusion

Signal processing

Information fusion

Ear

Data processing

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