Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds

In a world dominated by podcasts and audiobooks, maintaining auditory attention is essential, yet lapses in focus are common. Auditory attention is crucial for effective communication and comprehension in a distraction-filled environment, as it enables us to focus on important sounds while avoiding external distractions. This work introduces a novel, imperceptible method for detecting auditory attention using earbuds by monitoring muscle movement within the ear canal. We employ an ultrasound-based sensing technique to track phase changes in reflected signals, detecting muscle vibrations associated with shifts in attention. A preliminary user study reveals significant changes in in-ear signal characteristics when participants switch between auditory and cognitive tasks. We show that our system can classify periods of auditory attention and lack of it with an accuracy of 85.7% and a variance of 0.0033. Our findings pave the way for earables that continuously monitor and enhance auditory attention in real-time.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10889668
Citations
3
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
4.46
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article

Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds

Fahim Kawsar, Khaldoon Al-Naimi, Harshvardhan Takawale, Yang Liu et al.
3 citations
Music and Audio Processing
4.46
article

Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds

Fahim Kawsar, Khaldoon Al-Naimi, Harshvardhan Takawale, Yang Liu, Alessandro Montanari
article en
3 citations

Abstract

In a world dominated by podcasts and audiobooks, maintaining auditory attention is essential, yet lapses in focus are common. Auditory attention is crucial for effective communication and comprehension in a distraction-filled environment, as it enables us to focus on important sounds while avoiding external distractions. This work introduces a novel, imperceptible method for detecting auditory attention using earbuds by monitoring muscle movement within the ear canal. We employ an ultrasound-based sensing technique to track phase changes in reflected signals, detecting muscle vibrations associated with shifts in attention. A preliminary user study reveals significant changes in in-ear signal characteristics when participants switch between auditory and cognitive tasks. We show that our system can classify periods of auditory attention and lack of it with an accuracy of 85.7% and a variance of 0.0033. Our findings pave the way for earables that continuously monitor and enhance auditory attention in real-time.

Nokia (Finland) (FI), University of Maryland, College Park (US)
Zero hunger
Openalex Percentile: Top 7%
Music and Audio Processing
4.46
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Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds — Fahim Kawsar, Khaldoon Al-Naimi, et al. · (2025) | TGRS Research Map | TGRS