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Monitoring activities of daily living using audio analysis and a RaspberryPI: A use case on bathroom activity monitoring

Siantikos, Georgios; Giannakopoulos, Theodoros; Konstantopoulos, Stasinos


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{
  "description": "<p>A framework that utilizes audio information for recognition of activities of daily living (ADLs) in the context of a health monitoring environment is presented in this chapter. We propose integrating a Raspberry PI single-board PC that is used both as an audio acquisition and analysis unit. So Raspberry PI captures audio samples from the attached microphone device and executes a set of real-time feature extraction and classification procedures, in order to provide continuous and online audio event recognition to the end user.<br>\nFurthermore, a practical workflow is presented, that helps the technicians that setup the device to perform a fast, user-friendly and robust tuning and calibration procedure. As a result, the technician is capable of \"training\"' the device without any need for prior knowledge of machine learning techniques. The proposed system has been evaluated against a particular scenario that is rather important in the context of any healthcare monitoring system for the elder: In particular, we have focused on the \"bathroom scenario\" according to which, a Raspberry PI device equipped with a single microphone is used to monitor bathroom activity on a 24/7 basis in a privacy-aware manner, since no audio data is stored or transmitted. The presented experimental results prove that the proposed framework can be successfully used for audio event recognition tasks.</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "NCSR \"Demokritos\"", 
      "@type": "Person", 
      "name": "Siantikos, Georgios"
    }, 
    {
      "affiliation": "NCSR \"Demokritos\"", 
      "@type": "Person", 
      "name": "Giannakopoulos, Theodoros"
    }, 
    {
      "affiliation": "NCSR \"Demokritos\"", 
      "@type": "Person", 
      "name": "Konstantopoulos, Stasinos"
    }
  ], 
  "sameAs": [
    "https://link.springer.com/chapter/10.1007%2F978-3-319-62704-5_2", 
    "https://www.researchgate.net/publication/318550233"
  ], 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2017-07-20", 
  "url": "https://zenodo.org/record/835854", 
  "headline": "Monitoring activities of daily living using audio analysis and a RaspberryPI: A use case on bathroom activity monitoring", 
  "keywords": [
    "audio analysis", 
    "activities of daily living", 
    "health monitoring", 
    "remote monitoring", 
    "audio event recognition"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1007/978-3-319-62704-5_2", 
  "@id": "https://doi.org/10.1007/978-3-319-62704-5_2", 
  "@type": "ScholarlyArticle", 
  "name": "Monitoring activities of daily living using audio analysis and a RaspberryPI: A use case on bathroom activity monitoring"
}
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