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An analysis of mid-air gestures used across three platforms

Published: 13 July 2015 Publication History

Abstract

This study aims to compare the use of specific mid-air gestures across platforms (Microsoft Kinect, Leap Motion and Myo Armband) in order to identify the most recurrent gestures and their functions within the interface. 250 applications were analysed and 15 common gestures were mapped within this study. Results will contribute to wider research on mid-air gesture-based interfaces and assistive technology.

References

[1]
Bhuiyan, M., Picking, R. 2011. A gesture controlled user interface for inclusive design and evaluative study of its usability. Journal of Software Engineering and Applications. 4 (Sept., 2011), 513--521. DOI=10.4236/jsea.2011.49059.
[2]
Bobeth, J., Schmehl, S., Kruijff, E., Deutsch, S., Tscheligi, M. 2012. Evaluating performance and acceptance of older adults using freehand gestures for TV menu control. In Proceedings of the 10th European Conference on Interactive TV and Video (Berlin, Germany, July 4-6, 2012). EuroiTV '12. ACM, New York, NY, 35--44. DOI= 10.1145/2325616.2325625.
[3]
Grandhi, S., Joue, G., Mittelberg, I. 2011. Understanding naturalness and intuitiveness in gesture production: insights for touchless gestural interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Vancouver, Canada, May 7--12, 2011). CHI '11. ACM, New York, NY, 821--824. DOI= 10.1145/1978942.1979061.

Cited By

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  • (2024)Gestural Interfaces in Human–Computer InteractionThe Cambridge Handbook of Gesture Studies10.1017/9781108638869.027(661-682)Online publication date: 1-May-2024
  • (2023)Exploring Mid-Air Hand Interaction in Data VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.333264730:9(6347-6364)Online publication date: 14-Nov-2023
  • (2023)Ultrasound-Based 3-D Gesture Recognition: Signal Optimization, Trajectory, and Feature ClassificationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.323543872(1-12)Online publication date: 2023
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Other conferences
British HCI '15: Proceedings of the 2015 British HCI Conference
July 2015
334 pages
ISBN:9781450336437
DOI:10.1145/2783446
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2015

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Author Tags

  1. freehand interaction
  2. gesture based interaction
  3. mid-air gestures

Qualifiers

  • Extended-abstract

Funding Sources

  • Science Without Borders Programme, an initiative under CAPES agency and the Brazilian Ministry of Education

Conference

British HCI 2015
British HCI 2015: 2015 British Human Computer Interaction Conference
July 13 - 17, 2015
Lincolnshire, Lincoln, United Kingdom

Acceptance Rates

British HCI '15 Paper Acceptance Rate 28 of 62 submissions, 45%;
Overall Acceptance Rate 28 of 62 submissions, 45%

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Cited By

View all
  • (2024)Gestural Interfaces in Human–Computer InteractionThe Cambridge Handbook of Gesture Studies10.1017/9781108638869.027(661-682)Online publication date: 1-May-2024
  • (2023)Exploring Mid-Air Hand Interaction in Data VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.333264730:9(6347-6364)Online publication date: 14-Nov-2023
  • (2023)Ultrasound-Based 3-D Gesture Recognition: Signal Optimization, Trajectory, and Feature ClassificationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.323543872(1-12)Online publication date: 2023
  • (2022)Push, Tap, Dwell, and Pinch: Evaluation of Four Mid-air Selection Methods Augmented with Ultrasonic Haptic FeedbackProceedings of the ACM on Human-Computer Interaction10.1145/35677186:ISS(207-225)Online publication date: 14-Nov-2022
  • (2020)User-Centered Evaluation of an Augmented Reality-based Assistance System for MaintenanceProcedia CIRP10.1016/j.procir.2020.03.05393(921-926)Online publication date: 2020
  • (2020)A Comparative Study of Hand-Gesture Recognition Devices for GamesHuman-Computer Interaction. Multimodal and Natural Interaction10.1007/978-3-030-49062-1_4(57-76)Online publication date: 10-Jul-2020
  • (2019)Exploring How Interactive Technology Enhances Gesture-Based Expression and Engagement: A Design StudyMultimodal Technologies and Interaction10.3390/mti30100133:1(13)Online publication date: 27-Feb-2019
  • (2019)Hand Gestures in Virtual and Augmented 3D Environments for Down Syndrome UsersApplied Sciences10.3390/app91326419:13(2641)Online publication date: 29-Jun-2019
  • (2019)A User-Centered Framework for Designing Midair Gesture InterfacesIEEE Transactions on Human-Machine Systems10.1109/THMS.2019.291971949:5(421-429)Online publication date: Oct-2019
  • (2018)Evaluating the Effects of Feedback Type on Older Adults' Performance in Mid-Air Pointing and Target SelectionProceedings of the 2018 ACM Symposium on Spatial User Interaction10.1145/3267782.3267933(111-119)Online publication date: 13-Oct-2018
  • Show More Cited By

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