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The purpose of this study is to determine the ability of an eye-tracker to detect changes in vigilance performance
compared to the common method of using cerebral blood flow velocities (CBFV). Sixteen subjects completed this study.
Each participant performed a 40-minute vigilance task while wearing an eye-tracker and a transcranial doppler (TCD) on
each of four separate days. The results indicate that percentage of eye closure (PERCLOS) measured by the eye-tracker
increased as vigilance performance declined and right CBFV as measured by the TCD decreased as performance
declined. The results indicate that PERCLOS (left eye r=-.72 right eye r=-.67) more strongly correlated with changes in
performance when compared to CBFV (r=.54). We conclude that PERCLOS, as measured by a head-worn eye tracking
system, may serve as a compelling alternative (or supplemental) indicator of impending or concurrent performance
declines in operational settings where sustained attention or vigilance is required. Such head-worn or perhaps even offbody
oculometric sensor systems could potentially overcome some of the practical disadvantages inherent with TCD
data collection for operational purposes. If portability and discomfort challenges with TCD can be overcome, both TCD
and eye tracking might be advantageously combined for even greater performance monitoring than can be offered by any
single device.
Lindsey K. McIntire,R. Andy McKinley,Chuck Goodyear, andJohn P. McIntire
"Use of head-worn sensors to detect lapses in vigilance through the measurement of PERCLOS and cerebral blood flow velocity", Proc. SPIE 10206, Disruptive Technologies in Sensors and Sensor Systems, 102060K (2 May 2017); https://doi.org/10.1117/12.2268820
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Lindsey K. McIntire, R. Andy McKinley, Chuck Goodyear, John P. McIntire, "Use of head-worn sensors to detect lapses in vigilance through the measurement of PERCLOS and cerebral blood flow velocity," Proc. SPIE 10206, Disruptive Technologies in Sensors and Sensor Systems, 102060K (2 May 2017); https://doi.org/10.1117/12.2268820