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Output details

11 - Computer Science and Informatics

University of Glasgow

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Output 20 of 146 in the submission

Output title

AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation

Type

E - Conference contribution

DOI

10.1145/1978942.1979318

Name of conference/published proceedings

CHI 2011 : ACM CHI Conference on Human Factors in Computing Systems Vancouver, B.C.

Volume number

Issue number

First page of article

2575

ISSN of proceedings

Year of publication

2011

URL

Number of additional authors

Additional information

<20>This paper is the first to show how Bayesian probabilistic filters can be applied to capacitive touch input to dramatically improve mobile touchscreen performance. It is innovative in its rigorous mathematical approach to modelling touch. The work combined custom electronics design with working implementations of sophisticated real-time probabilistic models, and was tested in a comprehensive usability study. Touch precision 3 times better than the iPhone was achieved with much simpler hardware. This paper was published at SIGCHI (the top venue in HCI), and directly led to a funded project with Nokia (contact: Seppo Turunen) on designing next-generation touch interaction.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract