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SmileAtMe: rating and recommending funny images via smile detection

Brem, Jonathan and Hahn, Jürgen (2016) SmileAtMe: rating and recommending funny images via smile detection. In: Lukowicz, Paul, (ed.) Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16. ACM, New York, NY, pp. 21-24. ISBN 978-1-4503-4462-3.

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Date of publication of this fulltext: 28 Feb 2018 13:52

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Other URL: http://doi.org/10.1145/2968219.2971414


Abstract

In this paper, we propose an Android-based assistance system called SmileAtMe which uses smile detection as a means of direct interaction in order to rate meme images. A smartphone's front camera captures the user's face while they are interacting with the application on the device. A system evaluation uncovered that users fully understand how the application uses smile detection to rate images. ...

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Item type:Book section
Date:September 2016
Additional Information (public):Poster; UbiComp 2016, Heidelberg, 12.09.2016 - 16.09.2016
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik
Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft
Identification Number:
ValueType
10.1145/2968219.2971414DOI
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:36814
Owner only: item control page

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