The response of eye-movement and pupil size to audio instruction while viewing a moving target
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
The act of task difficulty and eye-movement frequency for the 'Oculo-motor indices'
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Applied Neural Networks for Signal Processing
Applied Neural Networks for Signal Processing
System usability evaluation for input operation using oculo-motors
AUIC '07 Proceedings of the eight Australasian conference on User interface - Volume 64
Assessing usability with eye-movement frequency analysis
Proceedings of the 2008 symposium on Eye tracking research & applications
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Fixation-aligned pupillary response averaging
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Assessing usability for input operation using frequency components of eye-movements
AUIC '09 Proceedings of the Tenth Australasian Conference on User Interfaces - Volume 93
Estimation of sleepiness using pupillary response and its frequency components
International Journal of Bioinformatics Research and Applications
Automatic and continuous user task analysis via eye activity
Proceedings of the 2013 international conference on Intelligent user interfaces
Automatic classification of eye activity for cognitive load measurement with emotion interference
Computer Methods and Programs in Biomedicine
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This paper describes the influence of eye blinks on frequency analysis and power spectrum difference for task-evoked pupillography and eye-movement during an experiment which consisted of ocular following tasks and oral calculation tasks with three levels of task difficulty: control, 1×1,and 1×2 digit oral calculation.The compensation model for temporal pupil size based on MLP (multi layer perceptron) was trained to detect a blink and to estimate pupil size by using blinkless pupillary change and artificial blink patterns. The PSD (power spectrum density) measurements from the estimated pupillography during oral calculation tasks show significant differences, and the PSD increased with task difficulty in the area of 0.1 - 0.5Hz and 1.6 - 3.5Hz, as did the average pupil size.The eye-movement during blinks was corrected manually, to remove irregular eye-movements such as saccades. The CSD (cross spectrum density) was achieved from horizontal and vertical eye-movement coordinates. Significant differences in CSDs among experimental conditions were examined in the area of 0.6 - 1.5 Hz. These differences suggest that the task difficulty affects the relationship between horizontal and vertical eye-movement coordinates in the frequency domain.