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

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.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1145/3654777.3676367
Citations
2
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.70
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article

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

Shunta Suzuki, Buntarou Shizuki, H. Watanabe, Takashi Amesaka et al.
2 citations
Speech and Audio Processing
0.70
article

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

Shunta Suzuki, Buntarou Shizuki, H. Watanabe, Takashi Amesaka, Yuta Sugiura
article en
2 citations

Abstract

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.

University of Tsukuba (JP), Keio University (JP), Future University Hakodate (JP)
Openalex Percentile: Top 31%
Speech and Audio Processing
0.70
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EarHover: Mid-Air Gesture Recognition for Hearables Using Sound Leakage Signals — Shunta Suzuki, Buntarou Shizuki, et al. · (2024) | TGRS Research Map | TGRS