Automatic Stress Detection in Working Environments From Smartphones' Accelerometer Data: A First Step
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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 …
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| Authors | Garcia-Ceja E;Osmani V;Mayora O;; |
| Journal | ieee journal of biomedical and health informatics |
| Year | 2016 |
| DOI |
DOI not found
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| 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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