Skip to content

Research at St Andrews

Exploring tangible interactions with radar sensing

Research output: Contribution to journalArticle

DOI

Open Access permissions

Open

Author(s)

Hui Shyong Yeo, Ryosuke Minami, Kirill Rodriguez, George Shaker, Aaron John Quigley

School/Research organisations

Abstract

Research has explored miniature radar as a promising sensing technique for the recognition of gestures, objects, users’ presence and activity. However, within Human-Computer Interaction (HCI), its use remains underexplored, in particular in Tangible User Interface (TUI). In this paper, we explore two research questions with radar as a platform for sensing tangible interaction with the counting, ordering, identification of objects and tracking the orientation, movement and distance of these objects. We detail the design space and practical use-cases for such interaction which allows us to identify a series of design patterns, beyond static interaction, which are continuous and dynamic. With a focus on planar objects, we report on a series of studies which demonstrate the suitability of this approach. This exploration is grounded in both a characterization of the radar sensing and our rigorous experiments which show that such sensing is accurate with minimal training. With these techniques, we envision both realistic and future applications and scenarios. The motivation for what we refer to as Solinteraction, is to demonstrate the potential for radar-based interaction with objects in HCI and T
Close

Details

Original languageEnglish
Article number200
Number of pages25
JournalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Volume2
Issue number4
DOIs
Publication statusPublished - 27 Dec 2018

    Research areas

  • Tangible interaction, Tangible user interface, Radar sensing, Soli, Ubiquitous computing, Context-aware interaction, Token+constraint, Machine learning

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Deb8: a tool for collaborative analysis of video

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. & Quigley, A. J., 4 Jun 2019, Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX '19). ACM, p. 47-58

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Walkers—encoding multivariate data into human motion sequences

    Carson, I., Hinrichs, U. & Quigley, A. J., 5 May 2019.

    Research output: Contribution to conferencePaper

  3. Deb8: collaborative fact checking

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. G. & Quigley, A. J., 5 May 2019.

    Research output: Contribution to conferencePaper

  4. RotoSwype: word-gesture typing using a ring

    Gupta, A., Ji, C., Yeo, H. S., Quigley, A. J. & Vogel, D., 2 May 2019, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). New York: ACM, 12 p. 14

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. SWAG demo: smart watch assisted gesture interaction for mixed reality head-mounted displays

    Kim, H., Lee, J., Yeo, H. S., Quigley, A. J. & Woo, W., 25 Apr 2019, Adjunct Proceedings - 2018 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2018. Institute of Electrical and Electronics Engineers Inc., p. 428-429 2 p. 8699201

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 256914564