• Title/Summary/Keyword: Pupil Accommodation Rate

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Emotion Classification Method Using Various Ocular Features (다양한 눈의 특징 분석을 통한 감성 분류 방법)

  • Kim, Yoonkyoung;Won, Myoung Ju;Lee, Eui Chul
    • The Journal of the Korea Contents Association
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    • v.14 no.10
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    • pp.463-471
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    • 2014
  • In this paper, emotion classification was performed by using four ocular features extracted from near-infrared camera image. According to comparing with previous work, the proposed method used more ocular features and each feature was validated as significant one in terms of emotion classification. To minimize side effects on ocular features caused by using visual stimuli, auditory stimuli for causing two opposite emotion pairs such as "positive-negative" and "arousal-relaxation" were used. As four features for emotion classification, pupil size, pupil accommodation rate, blink frequency, and eye cloased duration were adopted which could be automatically extracted by using lab-made image processing software. At result, pupil accommodation rate and blink frequency were statistically significant features for classification arousal-relaxation. Also, eye closed duration was the most significant feature for classification positive-negative.

Analysis of changes in ocular function according to beats per minute (BPM) (분당비트수(BPM)에 따른 안기능 변화 분석)

  • Bong-Hwan Kim;Sun-Hee Han;Chan-heum Kang;Hyeon-seok Lee;Dong-uk Kwon;Chae-won Park;Hyung-Soo Kim
    • Journal of Korean Clinical Health Science
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    • v.11 no.1
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    • pp.1639-1643
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    • 2023
  • Purpose. We wanted to find out how the changes in brain function affected by the beats per minute (BPM) of music affected visual function. Methods. The subjects were 40 people in their 20s (30 men, 10 women) with no eye disease, strabismus, amblyopia and a corrected visual acuity of 1.0 or higher. Wearing headphones while excluding surrounding noise as much as possible, we played music while adjusting the beat rate at 40 BPM intervals from 80 to 200 BPM. Then, pupil size measurement, lag of accommodation test, and minus lens addition method maximum accommodation test were performed and analyzed. Results. As a result of analyzing changes in visual function according to beats per minute [BPM], it was found that although sound can be consciously affected, it does not directly affect visual function significantly in terms of accommodative lag and changes in pupil size. It was confirmed that the effect was limited to the maximum accommodation. Conclusions. In clinical practice, it is necessary to conduct a refraction test while keeping in mind that there are changes in visual function depending on the BPM of surrounding sounds.