March 10, 2017 Dataset Open Access

Theodoros Giannakopoulos; Stasinos Konstantopoulos

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{
  "description": "<p>The high level activities are:<br>\n\u00a0- kitchencleanup<br>\n\u00a0- music<br>\n\u00a0- no activity<br>\n\u00a0- other activity<br>\n\u00a0- talk<br>\n\u00a0- tv</p>\n\n<p>Each recording of low-level audio events is stored in a separate file.</p>\n\n<p>Files are organized in 6 folders, each folder corresponding to a separate file.</p>\n\n<p>The format of is file is json-like. In particular, each row has the following format:</p>\n\n<p>{\"prob\": 0.88557562121157585, \"energy\": 0.024511212402412885, \"t\": 1485110417, \"event\": \"speech\"}</p>\n\n<p>This dataset can be evaluated with the python code metaClassifier/evaluate.py of the AUOR repository:<br>\nhttps://github.com/tyiannak/AUROS</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "NCSR Demokritos", 
      "@type": "Person", 
      "name": "Theodoros Giannakopoulos"
    }, 
    {
      "affiliation": "NCSR Demokritos", 
      "@type": "Person", 
      "name": "Stasinos Konstantopoulos"
    }
  ], 
  "url": "https://zenodo.org/record/376480", 
  "datePublished": "2017-03-10", 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/76670823-0e45-408b-8463-47b9b984e151/high_level_events.zip", 
      "@type": "DataDownload", 
      "fileFormat": "zip"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.376480", 
  "@id": "https://doi.org/10.5281/zenodo.376480", 
  "@type": "Dataset", 
  "name": "A dataset for high-level activity recognition based on low level audio events"
}