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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

42 Citationer (Scopus)
OriginalsprogUdefineret/Ukendt
TitelProceedings of the 25th annual ACM symposium on User interface software and technology
Antal sider12
Publikationsdato2012
Sider465-476
StatusUdgivet - 2012

Citer dette

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

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AU - Weir, Daryl

AU - Rogers, Simon

AU - Murray-Smith, Roderick

AU - Löchtefeld, Markus

PY - 2012

Y1 - 2012

M3 - Konferenceartikel i proceeding

SP - 465

EP - 476

BT - Proceedings of the 25th annual ACM symposium on User interface software and technology

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