Smart Sound Sensor to Detect the Number of People in a Room.

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ID: 83734
2019
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Ranked #36 of 127 articles by views in conference proceedings : annual international conference of the ieee engineering in medicine and biology society ieee engineering in medicine and biology society annual conference

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Abstract
Ambient sound monitoring is a widely used strategy to follow older adults, which could help them achieve healthy ageing with comfort and security. In a previous work, we have already developed a smart audio sensor able to recognize everyday life sounds in order to detect activities of daily living (ADL) and distress situations. In this paper, we propose to add a new functionality by analyzing the speech flow to detect the number of people in a room. The proposed algorithms are based on speaker diarization methods. This information can be used to better detect activities of daily life but also to know when the person is home alone. This functionality can also offer more comfort through light, heating and air conditioning adaptation to the number of people in an environment.
Reference Key
boutamine2019smartconference Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Boutamine, Sami;Istrate, Dan;Boudy, Jerome;Tannous, Halim;
Journal conference proceedings : annual international conference of the ieee engineering in medicine and biology society ieee engineering in medicine and biology society annual conference
Year 2019
DOI
10.1109/EMBC.2019.8856470
URL
Keywords
eHealth blockchain distributed ledger technology digital identity identity management

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