Automatic Stress Detection in Working Environments From Smartphones' Accelerometer Data: A First Step

Clicks: 432
ID: 117075
2016
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Abstract
Increase in workload across many organizations and consequent increase in occupational stress are negatively affecting the health of the workforce. Measuring stress and other human psychological dynamics is difficult due to subjective nature of selfreporting and variability between and within indivi …
Reference Key
e2016ieeeautomatic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Garcia-Ceja E;Osmani V;Mayora O;;
Journal ieee journal of biomedical and health informatics
Year 2016
DOI
DOI not found
URL
https://www.pubmed.gov/26087509/
Keywords
Monitoring National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine research support non-u.s. gov't adult female male enrique garcia-ceja physiologic / instrumentation* signal processing computer-assisted / instrumentation* physiologic / methods* pmid:26087509 doi:10.1109/jbhi.2015.2446195 venet osmani oscar mayora accelerometry / instrumentation* human activities / classification occupational stress / diagnosis* smartphone*

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