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Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms


Liu, Shih-Chii; Rueckauer, Bodo; Ceolini, Enea; Huber, Adrian; Delbruck, Tobi (2019). Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms. Institute of Electrical and Electronics Engineers Signal Processing Magazine, 36(6):29-37.

Abstract

Event sensors implement circuits that capture partial functionality of biological sensors, such as the retina and cochlea. As with their biological counterparts, event sensors are drivers of their own output. That is, they produce dynamically sampled binary events to dynamically changing stimuli. Algorithms and networks that process this form of output representation are still in their infancy, but they show strong promise. This article illustrates the unique form of the data produced by the sensors and demonstrates how the properties of these sensor outputs make them useful for power-efficient, low-latency systems working in real time.

Abstract

Event sensors implement circuits that capture partial functionality of biological sensors, such as the retina and cochlea. As with their biological counterparts, event sensors are drivers of their own output. That is, they produce dynamically sampled binary events to dynamically changing stimuli. Algorithms and networks that process this form of output representation are still in their infancy, but they show strong promise. This article illustrates the unique form of the data produced by the sensors and demonstrates how the properties of these sensor outputs make them useful for power-efficient, low-latency systems working in real time.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Signal Processing
Physical Sciences > Electrical and Electronic Engineering
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:Signal Processing, Electrical and Electronic Engineering, Applied Mathematics
Language:English
Date:1 November 2019
Deposited On:14 Feb 2020 10:06
Last Modified:29 Jul 2020 14:15
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1053-5888
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/msp.2019.2928127
Project Information:
  • : FunderH2020
  • : Grant ID644732
  • : Project TitleCOCOHA - Cognitive Control of a Hearing Aid
  • : FunderSNSF
  • : Grant ID200021_172553
  • : Project TitleHEAR-EAR

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