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<p>Nearly all modern smartphones are now equipped with a barometer to sample air pressure. Accessing these samples is deemed harmless, hence does not require permission. In this work, we demonstrate that barometer samples can reveal sensitive information, particularly in smartphones with ingress protection. Using a support-vector machine (SVM) classifier, we demonstrate for the first time that barometer readings, even at a low sampling rate (25 Hz), can reveal smartphone speaker activity. In particular, our classifier achieves <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\ge 95\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>≥</mo> <mn>95</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> accuracy in detecting whether the speaker is silent or playing a ringtone. In addition, we show that low-rate barometer samples can be used to 1)&#xa0;detect touchscreen finger taps with nearly <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(100\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>100</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> accuracy, and 2) gain information about the approximate position of finger taps. Our findings underscore that the barometer sensor, often considered harmless, should be recognized as sensitive with regard to user privacy, and access to this sensor should be carefully managed.</p>

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Smartphone barometer can hear, and sense finger taps

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月21日

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  • Alireza Hafez,
  • Dorsa Nahid,
  • Majid Khabbazian

摘要

Nearly all modern smartphones are now equipped with a barometer to sample air pressure. Accessing these samples is deemed harmless, hence does not require permission. In this work, we demonstrate that barometer samples can reveal sensitive information, particularly in smartphones with ingress protection. Using a support-vector machine (SVM) classifier, we demonstrate for the first time that barometer readings, even at a low sampling rate (25 Hz), can reveal smartphone speaker activity. In particular, our classifier achieves \(\ge 95\%\) ≥ 95 % accuracy in detecting whether the speaker is silent or playing a ringtone. In addition, we show that low-rate barometer samples can be used to 1) detect touchscreen finger taps with nearly \(100\%\) 100 % accuracy, and 2) gain information about the approximate position of finger taps. Our findings underscore that the barometer sensor, often considered harmless, should be recognized as sensitive with regard to user privacy, and access to this sensor should be carefully managed.