An affect detection technique using mobile commodity sensors in the wild

Aske Mottelson; Kasper Hornbæk

doi:10.1145/2971648.2971654

An affect detection technique using mobile commodity sensors in the wild

Aske Mottelson, Kasper Hornbæk

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

31 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Number of pages	12
Publisher	Association for Computing Machinery
Publication date	2016
Pages	781-792
ISBN (Print)	978-1-4503-4461-6
DOIs	https://doi.org/10.1145/2971648.2971654
Publication status	Published - 2016
Event	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - Heidelberg, Germany Duration: 12 Sep 2016 → 16 Sep 2016

Conference

Conference	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Country/Territory	Germany
City	Heidelberg
Period	12/09/2016 → 16/09/2016

Access to Document

10.1145/2971648.2971654

Cite this

An affect detection technique using mobile commodity sensors in the wild. / Mottelson, Aske; Hornbæk, Kasper.

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, 2016. p. 781-792.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Mottelson, A & Hornbæk, K 2016, An affect detection technique using mobile commodity sensors in the wild. in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, pp. 781-792, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, 12/09/2016. https://doi.org/10.1145/2971648.2971654

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