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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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 | ||||
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| 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 | ||||
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| 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 |
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