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Towards Leaning Aware Interaction with Multitouch Tabletops

Published: 23 October 2016 Publication History

Abstract

Interactive tabletops allow direct touch manipulation and recognizing simultaneous touch events. Users sometimes lean on the touch surface creating unintended touch input. Our work demonstrates how this unintended input can be employed to enhance interaction. In a study we develop a posture set organized into four classes. We present a vision-based machine-learning algorithm using an active shape model to recognize the classes. The algorithm categorizes lean gestures into one of the classes for interaction purposes. In a second study, we evaluate the model and propose interaction scenarios that use lean detection.

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Cited By

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  • (2020)‘It’s not a romantic relationship’: Stories of Adoption and Abandonment of Smart Speakers at HomeProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428469(71-82)Online publication date: 22-Nov-2020
  • (2018)AdapTableProceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces10.1145/3279778.3279779(213-225)Online publication date: 19-Nov-2018
  • (2017)Hand Contact Shape Recognition for Posture-Based Tabletop Widgets and InteractionProceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces10.1145/3132272.3134126(3-11)Online publication date: 17-Oct-2017

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cover image ACM Other conferences
NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction
October 2016
1045 pages
ISBN:9781450347631
DOI:10.1145/2971485
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 October 2016

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Author Tags

  1. Leaning
  2. active shape models
  3. interactive surface
  4. lean recognition
  5. tabletop interaction

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  • Short-paper
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NordiCHI '16 Paper Acceptance Rate 58 of 231 submissions, 25%;
Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

View all
  • (2020)‘It’s not a romantic relationship’: Stories of Adoption and Abandonment of Smart Speakers at HomeProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428469(71-82)Online publication date: 22-Nov-2020
  • (2018)AdapTableProceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces10.1145/3279778.3279779(213-225)Online publication date: 19-Nov-2018
  • (2017)Hand Contact Shape Recognition for Posture-Based Tabletop Widgets and InteractionProceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces10.1145/3132272.3134126(3-11)Online publication date: 17-Oct-2017

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