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AudioTouch: Minimally Invasive Sensing of Micro-Gestures via Active Bio-Acoustic Sensing

Published: 01 October 2019 Publication History

Abstract

We present AudioTouch, a minimally invasive approach for sensing micro-gestures using active bio-acoustic sensing. It only requires attaching two piezo-electric elements, acting as a surface mounted speaker and microphone, on the back of the hand. It does not require any instrumentation on the palm or fingers; therefore, it does not encumber interactions with physical objects. The signal is rich enough to detect small differences in micro-gestures with standard machine-learning classifiers. This approach also allows for the discrimination of different levels of touch-force, further expanding the interaction vocabulary. We conducted four experiments to evaluate the performances of AudioTouch: a user study for measuring the gesture recognition accuracy, a follow-up study investigating the ability to discriminate different levels of touch-force, an experiment assessing the cross-session robustness, and, a systematic evaluation assessing the effect of sensor placement on the back of the hand.

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      cover image ACM Conferences
      MobileHCI '19: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services
      October 2019
      646 pages
      ISBN:9781450368254
      DOI:10.1145/3338286
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      Published: 01 October 2019

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      Author Tags

      1. Bio-acoustics
      2. Finger Inputs
      3. Gesture Recognition
      4. One-handed Interaction
      5. Touch-Force Recognition

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      • (2024)Active Acoustic Sensing Based Authentication System Using a Door HandleProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701587(324-330)Online publication date: 1-Dec-2024
      • (2024)Signal2Hand: Sensor Modality Translation from Body-Worn Sensor Signals to Hand-Depth ImagesSIGGRAPH Asia 2024 Posters10.1145/3681756.3697943(1-2)Online publication date: 3-Dec-2024
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      • (2023)VibAware: Context-Aware Tap and Swipe Gestures Using Bio-Acoustic Sensing2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW58643.2023.00147(609-610)Online publication date: Mar-2023
      • (2023)Listening Human Behavior: 3D Human Pose Estimation with Acoustic Signals2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.01280(13323-13332)Online publication date: Jun-2023
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