Demo: HTTP://Eyewear.pro: An open platform to record and analyze large scale data sets from smart eyewear

George Chernyshov, Kai Kunze, Benjamin Tag, Jamie A. Ward, Yuji Uema

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2019- - 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
PublisherAssociation for Computing Machinery, Inc
Pages264-265
Number of pages2
ISBN (Electronic)9781450368698
DOIs
Publication statusPublished - 2019 Sep 9
Event2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 - London, United Kingdom
Duration: 2019 Sep 92019 Sep 13

Publication series

NameUbiComp/ISWC 2019- - 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

Conference

Conference2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
CountryUnited Kingdom
CityLondon
Period19/9/919/9/13

Fingerprint

HTTP
Demonstrations
Glass

Keywords

  • Eyewear computing, recording

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Chernyshov, G., Kunze, K., Tag, B., Ward, J. A., & Uema, Y. (2019). Demo: HTTP://Eyewear.pro: An open platform to record and analyze large scale data sets from smart eyewear. In UbiComp/ISWC 2019- - 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 (pp. 264-265). (UbiComp/ISWC 2019- - 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). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341162.3343790

Demo : HTTP://Eyewear.pro: An open platform to record and analyze large scale data sets from smart eyewear. / Chernyshov, George; Kunze, Kai; Tag, Benjamin; Ward, Jamie A.; Uema, Yuji.

UbiComp/ISWC 2019- - 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. Association for Computing Machinery, Inc, 2019. p. 264-265 (UbiComp/ISWC 2019- - 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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chernyshov, G, Kunze, K, Tag, B, Ward, JA & Uema, Y 2019, Demo: HTTP://Eyewear.pro: An open platform to record and analyze large scale data sets from smart eyewear. in UbiComp/ISWC 2019- - 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. UbiComp/ISWC 2019- - 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, Association for Computing Machinery, Inc, pp. 264-265, 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019, London, United Kingdom, 19/9/9. https://doi.org/10.1145/3341162.3343790
Chernyshov G, Kunze K, Tag B, Ward JA, Uema Y. Demo: HTTP://Eyewear.pro: An open platform to record and analyze large scale data sets from smart eyewear. In UbiComp/ISWC 2019- - 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. Association for Computing Machinery, Inc. 2019. p. 264-265. (UbiComp/ISWC 2019- - 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). https://doi.org/10.1145/3341162.3343790
Chernyshov, George ; Kunze, Kai ; Tag, Benjamin ; Ward, Jamie A. ; Uema, Yuji. / Demo : HTTP://Eyewear.pro: An open platform to record and analyze large scale data sets from smart eyewear. UbiComp/ISWC 2019- - 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. Association for Computing Machinery, Inc, 2019. pp. 264-265 (UbiComp/ISWC 2019- - 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).
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