A computerized identification and data analysis of eyeblink EOG waves.

Yuze, Hiroaki; Tada, Hideoki

doi:10.5100/jje.30.331

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…above the mean within 100 ms, the point of the negative threshold was determined as an eyeblink onset time. This procedure yielded a series of blink onset times with 10 ms time resolution ( Yuze & Tada 1994 ). For confirmation, we also counted the number of eyeblinks in close-up video pictures of the face of each subject, which we recorded during each experimental session.…”

Section: Methodsmentioning

confidence: 99%

Synchronization of spontaneous eyeblinks while viewing video stories

et al. 2009

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Blinks are generally suppressed during a task that requires visual attention and tend to occur immediately before or after the task when the timing of its onset and offset are explicitly given. During the viewing of video stories, blinks are expected to occur at explicit breaks such as scene changes. However, given that the scene length is unpredictable, there should also be appropriate timing for blinking within a scene to prevent temporal loss of critical visual information. Here, we show that spontaneous blinks were highly synchronized between and within subjects when they viewed the same short video stories, but were not explicitly tied to the scene breaks. Synchronized blinks occurred during scenes that required less attention such as at the conclusion of an action, during the absence of the main character, during a long shot and during repeated presentations of a similar scene. In contrast, blink synchronization was not observed when subjects viewed a background video or when they listened to a story read aloud. The results suggest that humans share a mechanism for controlling the timing of blinks that searches for an implicit timing that is appropriate to minimize the chance of losing critical information while viewing a stream of visual events.

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Section: Methodsmentioning

confidence: 99%

Synchronization of spontaneous eyeblinks while viewing video stories

et al. 2009

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“…Amplitude rates were relative, whereas resting after the test was normalized by the amplitude before the test at 100%. The amplitude of the differential of the wave patterns for blinking indicates openclose-eye velocity: this amplitude is related to arousal level [9]. The lower the arousal level, the lower the amplitude rate.…”

Section: B Resultsmentioning

confidence: 99%

Measurement of visual fat igue for large-sized TVs in a home viewing environment

Sakamoto

Aoyama

Asahara

et al. 2009

2009 IEEE 13th International Symposium on Consumer Electronics

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The authors report here the result of the evaluation experiments that measured visual fatigue for large-sized TVs in a home viewing environment using 42-inch and 65-inch PDP displays by physiological and psychological measurements. Our results indicate that the optimum viewing distance for minimizing visual fatigue lies between 165 and 220 cm, a semiabsolute distance, rather than a strict relative distance such as three times the screen height (3H).Moreover these results indicate that the viewing distance for less visual fatigue and a closer feeling of involvement might be in between the two distances.

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“…The participants’ eyeblink onset times were detected by processing the EOG signals30. Geminoid-F’s blink onset times were detected by referring to the Motion File.…”

Section: Methodsmentioning

confidence: 99%

Eyeblink Synchrony in Multimodal Human-Android Interaction

Tatsukawa

Nakano

Ishiguro

et al. 2016

Sci Rep

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As the result of recent progress in technology of communication robot, robots are becoming an important social partner for humans. Behavioral synchrony is understood as an important factor in establishing good human-robot relationships. In this study, we hypothesized that biasing a human’s attitude toward a robot changes the degree of synchrony between human and robot. We first examined whether eyeblinks were synchronized between a human and an android in face-to-face interaction and found that human listeners’ eyeblinks were entrained to android speakers’ eyeblinks. This eyeblink synchrony disappeared when the android speaker spoke while looking away from the human listeners but was enhanced when the human participants listened to the speaking android while touching the android’s hand. These results suggest that eyeblink synchrony reflects a qualitative state in human-robot interactions.

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A computerized identification and data analysis of eyeblink EOG waves.

Cited by 7 publications

References 3 publications

Synchronization of spontaneous eyeblinks while viewing video stories

Synchronization of spontaneous eyeblinks while viewing video stories

Measurement of visual fat igue for large-sized TVs in a home viewing environment

Eyeblink Synchrony in Multimodal Human-Android Interaction

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