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iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass

Authors:

Soha Rostaminia,

Addison Mayberry,

Deepak Ganesan,

Benjamin Marlin,

Jeremy GummesonAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 2

Article No.: 23, Pages 1 - 26

https://doi.org/10.1145/3090088

Published: 30 June 2017 Publication History

Abstract

The ability to monitor eye closures and blink patterns has long been known to enable accurate assessment of fatigue and drowsiness in individuals. Many measures of the eye are known to be correlated with fatigue including coarse-grained measures like the rate of blinks as well as fine-grained measures like the duration of blinks and the extent of eye closures. Despite a plethora of research validating these measures, we lack wearable devices that can continually and reliably monitor them in the natural environment. In this work, we present a low-power system, iLid, that can continually sense fine-grained measures such as blink duration and Percentage of Eye Closures (PERCLOS) at high frame rates of 100fps. We present a complete solution including design of the sensing, signal processing, and machine learning pipeline; implementation on a prototype computational eyeglass platform; and extensive evaluation under many conditions including illumination changes, eyeglass shifts, and mobility. Our results are very encouraging, showing that we can detect blinks, blink duration, eyelid location, and fatigue-related metrics such as PERCLOS with less than a few percent error.

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 2

June 2017

665 pages

EISSN:2474-9567

DOI:10.1145/3120957

Issue’s Table of Contents

Copyright © 2017 ACM.

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Publication History

Published: 30 June 2017

Accepted: 01 June 2017

Revised: 01 March 2017

Received: 01 February 2017

Published in IMWUT Volume 1, Issue 2

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