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249 / 2024-03-14 13:20:43
AP-Fall: Achieving robust fall detection via active and passive acoustic sensing
Fall detection, Acoustic, Passive sensing, Active sensing
4、智能化装备技术
摘要录用
Xiaojie Yu / China University of Mining and Technology
Fall detection plays a critical role in home care for the elderly. In this paper, we propose AP-Fall, a novel system that can perform robust fall detection via active and passive acoustic sensing relying solely on a home audio device. Particularly, the speaker is triggered to emit 20kHz wave only when a person walking is detected. We first separate the signal recorded by the microphone into inaudible signal and audible signal. Then we employ the double-checked event detection mechanism to eliminate possible false alarms. A series of fall-related features are extracted and adaptively fused based on the signal-to-noise ratio (SNR) for robust fall detection.  We implement AP-Fall and evaluate its performance extensively. Results show that AP-Fall has a better fall detection accuracy of around 94\% in most common circumstances..
重要日期

  • 会议日期

    05月29日

    2024

    至

    06月01日

    2024

  • 05月08日 2024

    初稿截稿日期

主办单位
中国矿业大学
历届会议
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