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EarHover: Mid-Air Gesture Recognition for Hearables Using Sound Leakage Signals

  • Shunta Suzuki
  • , Takashi Amesaka
  • , Hiroki Watanabe
  • , Buntarou Shizuki
  • , Yuta Sugiura

研究成果: Conference contribution

抄録

We introduce EarHover, an innovative system that enables mid-air gesture input for hearables. Mid-air gesture input, which eliminates the need to touch the device and thus helps to keep hands and the device clean. However, existing mid-air gesture input methods for hearables have been limited to adding cameras or infrared sensors. By focusing on the sound leakage phenomenon unique to hearables, we have realized mid-air gesture recognition using a speaker and an external microphone that are highly compatible with hearables. The signal leaked to the outside of the device due to sound leakage can be measured by an external microphone, which detects the differences in reflection characteristics caused by the hand's speed and shape during mid-air gestures. Among 27 types of gestures, we determined the seven suitable gestures for EarHover in terms of signal discrimination and user acceptability. We then evaluated the gesture detection and classification performance of two prototype devices (in-ear type/open-ear type) for real-world application scenarios.

本文言語English
ホスト出版物のタイトルUIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
出版社Association for Computing Machinery, Inc
ISBN(電子版)9798400706288
DOI
出版ステータスPublished - 2024 10月 13
イベント37th Annual ACM Symposium on User Interface Software and Technology, UIST 2024 - Pittsburgh, United States
継続期間: 2024 10月 132024 10月 16

出版物シリーズ

名前UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology

Conference

Conference37th Annual ACM Symposium on User Interface Software and Technology, UIST 2024
国/地域United States
CityPittsburgh
Period24/10/1324/10/16

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • ソフトウェア

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