A user-specific machine learning approach for improving touch accuracy on mobile devices

Daryl Weir, Simon Rogers, Roderick Murray-Smith, Markus Löchtefeld

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

42 Citations (Scopus)
Original languageUndefined/Unknown
Title of host publicationProceedings of the 25th annual ACM symposium on User interface software and technology
Number of pages12
Publication date2012
Pages465-476
Publication statusPublished - 2012

Cite this

Weir, D., Rogers, S., Murray-Smith, R., & Löchtefeld, M. (2012). A user-specific machine learning approach for improving touch accuracy on mobile devices. In Proceedings of the 25th annual ACM symposium on User interface software and technology (pp. 465-476)
Weir, Daryl ; Rogers, Simon ; Murray-Smith, Roderick ; Löchtefeld, Markus. / A user-specific machine learning approach for improving touch accuracy on mobile devices. Proceedings of the 25th annual ACM symposium on User interface software and technology. 2012. pp. 465-476
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Weir, D, Rogers, S, Murray-Smith, R & Löchtefeld, M 2012, A user-specific machine learning approach for improving touch accuracy on mobile devices. in Proceedings of the 25th annual ACM symposium on User interface software and technology. pp. 465-476.

A user-specific machine learning approach for improving touch accuracy on mobile devices. / Weir, Daryl; Rogers, Simon; Murray-Smith, Roderick; Löchtefeld, Markus.

Proceedings of the 25th annual ACM symposium on User interface software and technology. 2012. p. 465-476.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Weir D, Rogers S, Murray-Smith R, Löchtefeld M. A user-specific machine learning approach for improving touch accuracy on mobile devices. In Proceedings of the 25th annual ACM symposium on User interface software and technology. 2012. p. 465-476