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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics
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Pupil Reactions in Response to Human Mental Activity (Paperback, 1st ed. 2021)
Loot Price: R3,651
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Pupil Reactions in Response to Human Mental Activity (Paperback, 1st ed. 2021)
Series: Behaviormetrics: Quantitative Approaches to Human Behavior, 6
Expected to ship within 10 - 15 working days
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This book focuses on a development for assessing mental changes
using eye pupil reactions, namely extracting emotional change from
the response to evaluate the viewer's interest in visual
information. The pupil of the eye reacts to both brightness and
emotional state, including interest, enjoyment, and mental
workload. Because pupillary change is a biological signal, various
artifacts influence measurements of eye images. Technical
procedures are required to extract mental activities from pupillary
changes, and they are summarized here step by step, although some
procedures contain earlier techniques such as analog video
processing. This study examines the possibility of estimating the
viewer's interest and enjoyment of viewing movies by measuring the
dynamic pupillary changes, blinking, and subjective interest
responses. In evaluation of pupil size, there was a significant
difference in pupil size between the higher and the lower shot for
the degree of subject interest response in each kind of movies. The
first part of the book shows a pupil reaction model for brightness
changes to extract mental activities. Pupil reactions were observed
for various visual stimuli in brightness changes. With regard to
the characteristics of pupillary changes, a model with a
three-layer neural network was developed and the performance was
evaluated. Characteristics of pupil reactions during model
development are summarized here. The second part examines the
possibility of estimating the viewer's interest and enjoyment of
television programs by measuring dynamic pupillary changes,
blinking, and subjective interest responses. The final part
describes a development of estimation model of pupil size for blink
artifact. The model development was able to estimate pupillary
changes and pupil size while the viewer was blinking and was
applied to pupillary changes in viewing television programs.
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