RATA: Codeless Generation of Gesture Recognizers

Touch and stylus sensitive computer displays are widely available. Yet, the development of gesture sets to support these interaction methods continues to be difficult. We present RATA, a tool for interaction designers and software developers to create gesture recognizers for novel and custom gesture sets. Guided by the RATA wizard, the developer: defines their gesture set; collects example gestures; labels them with the support of an auto labeller; and generates the recognizer model file – no coding or expert knowledge of recognizers is required. Incorporating the recognizer into a program requires just two lines of code. Our evaluations show high user satisfaction and that novice software developers can design a customized gesture set and generate a recognizer in about 20 minutes.

Content

Author and article information

Contributors

Beryl Plimmer

Rachel Blagojevic

Samuel Hsiao-Heng Chang

Paul Schmieder

Jacky Shunjie Zhen

Conference

Publication date: September 2012

Publication date (Print): September 2012

Pages: 137-146

Affiliations

[0001]Department of Computer Science

University of Auckland

Article

DOI: 10.14236/ewic/HCI2012.19

SO-VID: 53a9d53f-365d-4e27-aa24-126ff45c7adc

Copyright statement: © Beryl Plimmer et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: The 26th BCS Conference on Human Computer Interaction

Conference acronym: HCI

Conference number: 26

Conference location: Birmingham, UK

Conference date: 12 - 14 September 2012

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2012.19

Self URI (journal page): https://ewic.bcs.org/

RATA: Codeless Generation of Gesture Recognizers

Abstract