Eye blink as an input modality for a responsive adaptable video system

Benjamin Tag; Junichi Shimizu; Chi Zhang; Naohisa Ohta; Kai Kunze; Kazunori Sugiura

doi:10.1145/2968219.2971449

Eye blink as an input modality for a responsive adaptable video system

Benjamin Tag, Junichi Shimizu, Chi Zhang, Naohisa Ohta, Kai Kunze, Kazunori Sugiura

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

10 Citations (Scopus)

Abstract

We propose a unique system that allows real-Time adaption of video settings to a viewer's physical state. A custom made program toggles between videos according to the average eye blink frequency of each viewer. The physical data is harnessed with J!NS MEME smart glasses that utilize electrooculography (EOG). To the best of our belief, this is the first adaptable multimedia system that responds in real time to physical data and alters technical settings of video contents.

Original language	English
Title of host publication	Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Editors	Florian Daiber
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	205-208
Number of pages	4
ISBN (Electronic)	9781450344623
DOIs	https://doi.org/10.1145/2968219.2971449
Publication status	Published - Sept 2016
Externally published	Yes
Event	ACM International Joint Conference on Pervasive and Ubiquitous Computing 2016 - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016 https://ubicomp.org/ubicomp2016/index.php

Conference

Conference	ACM International Joint Conference on Pervasive and Ubiquitous Computing 2016
Abbreviated title	UbiComp 2016
Country/Territory	Germany
City	Heidelberg
Period	12/09/16 → 16/09/16
Internet address	https://ubicomp.org/ubicomp2016/index.php

Keywords

Activity Recognition
Adaptable Video
Eye Blink
Eyewear
Psychophysics
Smart Glasses

Access to Document

10.1145/2968219.2971449

Cite this

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title = "Eye blink as an input modality for a responsive adaptable video system",

abstract = "We propose a unique system that allows real-Time adaption of video settings to a viewer's physical state. A custom made program toggles between videos according to the average eye blink frequency of each viewer. The physical data is harnessed with J!NS MEME smart glasses that utilize electrooculography (EOG). To the best of our belief, this is the first adaptable multimedia system that responds in real time to physical data and alters technical settings of video contents.",

keywords = "Activity Recognition, Adaptable Video, Eye Blink, Eyewear, Psychophysics, Smart Glasses",

author = "Benjamin Tag and Junichi Shimizu and Chi Zhang and Naohisa Ohta and Kai Kunze and Kazunori Sugiura",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; ACM International Joint Conference on Pervasive and Ubiquitous Computing 2016, UbiComp 2016 ; Conference date: 12-09-2016 Through 16-09-2016",

year = "2016",

month = sep,

doi = "10.1145/2968219.2971449",

language = "English",

pages = "205--208",

editor = "Florian Daiber",

booktitle = "Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

url = "https://ubicomp.org/ubicomp2016/index.php",

}

Tag, B, Shimizu, J, Zhang, C, Ohta, N, Kunze, K & Sugiura, K 2016, Eye blink as an input modality for a responsive adaptable video system. in F Daiber (ed.), Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery (ACM), New York NY USA, pp. 205-208, ACM International Joint Conference on Pervasive and Ubiquitous Computing 2016, Heidelberg, Baden-Württemberg, Germany, 12/09/16. https://doi.org/10.1145/2968219.2971449

Eye blink as an input modality for a responsive adaptable video system. / Tag, Benjamin; Shimizu, Junichi; Zhang, Chi et al.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ed. / Florian Daiber. New York NY USA: Association for Computing Machinery (ACM), 2016. p. 205-208.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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AU - Shimizu, Junichi

AU - Zhang, Chi

AU - Ohta, Naohisa

AU - Kunze, Kai

AU - Sugiura, Kazunori

PY - 2016/9

Y1 - 2016/9

N2 - We propose a unique system that allows real-Time adaption of video settings to a viewer's physical state. A custom made program toggles between videos according to the average eye blink frequency of each viewer. The physical data is harnessed with J!NS MEME smart glasses that utilize electrooculography (EOG). To the best of our belief, this is the first adaptable multimedia system that responds in real time to physical data and alters technical settings of video contents.

AB - We propose a unique system that allows real-Time adaption of video settings to a viewer's physical state. A custom made program toggles between videos according to the average eye blink frequency of each viewer. The physical data is harnessed with J!NS MEME smart glasses that utilize electrooculography (EOG). To the best of our belief, this is the first adaptable multimedia system that responds in real time to physical data and alters technical settings of video contents.

KW - Activity Recognition

KW - Adaptable Video

KW - Eye Blink

KW - Eyewear

KW - Psychophysics

KW - Smart Glasses

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M3 - Conference Paper

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T2 - ACM International Joint Conference on Pervasive and Ubiquitous Computing 2016

Y2 - 12 September 2016 through 16 September 2016

ER -

Eye blink as an input modality for a responsive adaptable video system

Abstract

Conference

Keywords

Access to Document

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Cite this