SUbiTap: Leveraging Acoustic Dispersion for Ubiquitous and Scalable Touch Interface on Solid Surfaces

  • Byanjankar, A.
  • Liu, Y.
  • Shu, Y.
  • Shin, I.
  • Choi, M.
  • ... Kim, H.
Citations

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초록

As various computing devices, such as smartphones, IoT devices, smart speakers etc, becomes omnipresent in our daily lives, interest in ubiquitous computing interfaces is increasing. In response to this, various studies have introduced on-surface input techniques that leverage the surface of surrounding objects as touch interfaces. However, most of them struggle to support ubiquitous interaction due to their dependency on specific hardware or environments. In this work, we propose SUbiTap, an input method that turns any flat solid surface into a touch input space by listening to sound (i.e., with microphones already present in the commodity devices). More specifically, we develop a novel touch localization technique that leverages the physical phenomenon, called <italic>dispersion</italic>, which is the characteristic of sound as it travels through solid surfaces, and address the challenges that limit existing acoustic-based solutions in terms of portability, accuracy, usability, robustness, scalability, and responsiveness. Our extensive experiments with a prototype of SUbiTap show that we can support sub-centimeter accuracy on various types of surfaces with minor user calibration effort. In addition, the accuracy is maintained even when the size of the touch input space increases. In our experience with real-world users, SUbiTap significantly improves usability and robustness, thus enabling the emergence of more exciting applications. IEEE

키워드

CalibrationDispersionDispersionHuman-Computer InteractionLocation awarenessMicrophonesOn-Surface Touch InterfaceRobustnessScalabilitySound-based LocalizationTime Difference of ArrivalTDoAUbiquitous ComputingUsability
제목
SUbiTap: Leveraging Acoustic Dispersion for Ubiquitous and Scalable Touch Interface on Solid Surfaces
저자
Byanjankar, A.Liu, Y.Shu, Y.Shin, I.Choi, M.Kim, H.
DOI
10.1109/TMC.2022.3195226
발행일
2023-11
유형
Article
저널명
IEEE Transactions on Mobile Computing
22
11
페이지
6800 ~ 6816