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demonstration

http://eyewear.pro: an open platform to record and analyze large scale data sets from smart eyewear

Published: 09 September 2019 Publication History

Abstract

In this demo, we present the smart eyewear toolchain consisting of smart glasses prototypes and a software platform for cognitive and social interaction assessments in the wild, with several application cases and a demonstration of activity recognition in real-time. The platform is designed to work with Jins MEME, smart EOG enabled glasses, The user software is capable data logging, posture tracking and recognition of several activities, such as talking, reading and blinking. During the demonstration we will walk through several applications and studies that the platform has been used for.

References

[1]
Oliver Amft, Florian Wahl, Shoya Ishimaru, and Kai Kunze. 2015. Making regular eyeglasses smart. IEEE Pervasive Computing 14, 3 (2015), 32--43.
[2]
Shoya Ishimaru, Kai Kunze, Yuji Uema, Koichi Kise, Masahiko Inami, and Katsuma Tanaka. 2014. Smarter eyewear: using commercial EOG glasses for activity recognition. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. ACM, 239--242.
[3]
Kai Kunze, Katsutoshi Masai, Masahiko Inami, Ömer Sacakli, Marcus Liwicki, Andreas Dengel, Shoya Ishimaru, and Koichi Kise. 2015. Quantifying reading habits: counting how many words you read. In UbiComp 2015. ACM, 87--96.
[4]
Benjamin Tag, Andrew W Vargo, Aman Gupta, George Chernyshov, Kai Kunze, and Tilman Dingler. 2019. Continuous Alertness Assessments: Using EOG Glasses to Unobtrusively Monitor Fatigue Levels In-The-Wild. (2019), 464.
[5]
Jamie A Ward, Daniel Richardson, Guido Orgs, Kelly Hunter, and Antonia Hamilton. 2018. Sensing interpersonal synchrony between actors and autistic children in theatre using wrist-worn accelerometers. In ACM ISWC, Proceedings of. ACM, 148--155.

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Published In

cover image ACM Conferences
UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
September 2019
1234 pages
ISBN:9781450368698
DOI:10.1145/3341162
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2019

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Author Tags

  1. eyewear computing
  2. recording

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  • Demonstration

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UbiComp '19

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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