Blink identification with eye tracking: a software processing program

Searjeant, Mitchell, Phillips, Peter, Roy, Dorina, Gale, Alastair, Chen, Yan, Samuelson, Frank W. and Taylor-Phillips, Sian (2021) Blink identification with eye tracking: a software processing program. In: Image Perception, Observer Performance, and Technology Assessment, 15th February 2021, Online Only, United States. (Unpublished) Full text not available from this repository.

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Official URL: https://doi.org/10.1117/12.2580967

Abstract

Currently in the UK, a national trial to test the effect of a transition from traditional Full Field Digital Mammography (FFDM) to Digital Breast Tomosynthesis (DBT) is being conducted. DBT, having a higher sensitivity and specificity as compared to FFDM alone, could be a better modality in national breast cancer screening. However, its incorporation in the incredibly busy and detailed UK screening program is difficult. Reading times in DBT have been shown to be longer and strenuous (Connor et al, 2012). Therefore, much research needs to be completed to develop recommendations for its efficiency. One key factor in DBT reading is the progression of fatigue, as both a cause and effect of prolonged reading times. We aimed to develop a program to process real time raw eye tracking data to identify a change in fatigue-state through blink detection. Our focus was on analysing the whole data set and defining blinks through observed events. Two real time signals which the eye tracker generates, namely the left and right ‘Eyelid Opening’ value, were considered. Through assessment of these signals, blinks of varying duration were identified. Additional parameters such as recorded frame sequences and time stamps were added to the processing to delineate the exact occurrence of these blinks during the reading process. We aim to analyse past and future large DBT eye tracked files, with our processing software, to identify the point of fatigue onset in a DBT reading session.

Item Type: Conference or Workshop Item (Paper)
Journal / Publication Title: Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment
Publisher: SPIE
ISBN: 9781510640283
Departments: Departments > Institute of Health > Continuing Development and Health Leadership
Depositing User: Christian Stretton
Date Deposited: 22 Feb 2021 13:31
Last Modified: 22 Feb 2021 13:31
URI: https://insight.cumbria.ac.uk/id/eprint/5969

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