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1F: one accessory feature design for gesture recognizers

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Radu-Daniel VatavuAuthors Info & Claims

IUI '12: Proceedings of the 2012 ACM international conference on Intelligent User Interfaces

Pages 297 - 300

https://doi.org/10.1145/2166966.2167022

Published: 14 February 2012 Publication History

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Abstract

One Feature (1F) is a simple and intuitive pruning strategy that reduces considerably the amount of computations required by Nearest-Neighbor gesture classifiers while still preserving the high recognition rate. Performance results are reported for 1F by analyzing a large set of candidate features showing recognition rates of 99% with a peak reduction in computations of 70%. 1F is easy to implement, flexible with respect to the choice of the feature, and exploits the intuition of the designer by exposing clear inner workings.

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Cited By

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Costagliola GDe Rosa MFuccella V(2023)Gesture‐Based ComputingHandbook of Human‐Machine Systems10.1002/9781119863663.ch32(397-408)Online publication date: 7-Jul-2023
https://doi.org/10.1002/9781119863663.ch32
Magrofuoco NRoselli PVanderdonckt J(2022)µV: An Articulation, Rotation, Scaling, and Translation Invariant (ARST) Multi-stroke Gesture RecognizerProceedings of the ACM on Human-Computer Interaction10.1145/35322006:EICS(1-25)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3532200
Taranta EMaslych MGhamandi RLaViola J(2022)The Voight-Kampff Machine for Automatic Custom Gesture Rejection Threshold SelectionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502000(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502000
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Index Terms

1F: one accessory feature design for gesture recognizers
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

IUI '12: Proceedings of the 2012 ACM international conference on Intelligent User Interfaces

February 2012

436 pages

ISBN:9781450310482

DOI:10.1145/2166966

General Chairs:
Carlos Duarte
University of Lisbon, Portugal
,
Luís Carriço
Universiy of Lisbon, Portugal
,
Program Chairs:
Joaquim Jorge
INESC-ID, Portugal
,
Sharon Oviatt
Incaa Designs, USA
,
Daniel Gonçalves
INESC-ID, Portugal

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 February 2012

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IUI '12

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IUI '12: 17th International Conference on Intelligent User Interfaces

February 14 - 17, 2012

Lisbon, Portugal

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

View all

Costagliola GDe Rosa MFuccella V(2023)Gesture‐Based ComputingHandbook of Human‐Machine Systems10.1002/9781119863663.ch32(397-408)Online publication date: 7-Jul-2023
https://doi.org/10.1002/9781119863663.ch32
Magrofuoco NRoselli PVanderdonckt J(2022)µV: An Articulation, Rotation, Scaling, and Translation Invariant (ARST) Multi-stroke Gesture RecognizerProceedings of the ACM on Human-Computer Interaction10.1145/35322006:EICS(1-25)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3532200
Taranta EMaslych MGhamandi RLaViola J(2022)The Voight-Kampff Machine for Automatic Custom Gesture Rejection Threshold SelectionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502000(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502000
Magrofuoco NRoselli PVanderdonckt J(2021)Two-dimensional Stroke Gesture RecognitionACM Computing Surveys10.1145/346540054:7(1-36)Online publication date: 18-Jul-2021
https://dl.acm.org/doi/10.1145/3465400
Bufano RCostagliola GDe Rosa MFuccella V(2021) PolyRec Gesture Design Tool : A tool for fast prototyping of gesture‐based mobile applications Software: Practice and Experience10.1002/spe.302452:2(594-618)Online publication date: 13-Sep-2021
https://doi.org/10.1002/spe.3024
Ousmer MSluÿters AMagrofuoco NRoselli PVanderdonckt J(2020)Recognizing 3D Trajectories as 2D Multi-stroke GesturesProceedings of the ACM on Human-Computer Interaction10.1145/34273264:ISS(1-21)Online publication date: 4-Nov-2020
https://dl.acm.org/doi/10.1145/3427326
Vanderdonckt JRoselli PPérez-Medina JD'Mello SGeorgiou PScherer SProvost ESoleymani MWorsley M(2018)!FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation InvariancesProceedings of the 20th ACM International Conference on Multimodal Interaction10.1145/3242969.3243032(125-134)Online publication date: 2-Oct-2018
https://dl.acm.org/doi/10.1145/3242969.3243032
Vatavu RAnthony LWobbrock JBailie LOliver N(2018)$QProceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3229434.3229465(1-12)Online publication date: 3-Sep-2018
https://dl.acm.org/doi/10.1145/3229434.3229465
Vatavu RMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Improving Gesture Recognition Accuracy on Touch Screens for Users with Low VisionProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025941(4667-4679)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025941
Taranta EVargas ALaViola J(2016)Streamlined and accurate gesture recognition with Penny PincherComputers and Graphics10.1016/j.cag.2015.10.01155:C(130-142)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.cag.2015.10.011
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