DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Yeachan | ko |
dc.contributor.author | Yim, Man-Sung | ko |
dc.contributor.author | Kim, Tae Ryoun | ko |
dc.date.accessioned | 2022-09-07T08:00:11Z | - |
dc.date.available | 2022-09-07T08:00:11Z | - |
dc.date.created | 2022-07-25 | - |
dc.date.issued | 2022-07-11 | - |
dc.identifier.citation | 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society | - |
dc.identifier.uri | http://hdl.handle.net/10203/298434 | - |
dc.description.abstract | An increase in personal negative emotions (stress, depression, anxiety) and an increase in consuming alcohol may threaten personal health, and worker performance in highly reliability organizations, causing serious accidents. This study suggests a method to integrate conveniently measurable commercial EEG (Electroencephalography) devices and machine learning to assess FFD (Fitness For Duty) as well as a worker's mental health. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Exploring the Possibilities of Determining Fitness For Duty Using commercial EEG device | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society | - |
dc.identifier.conferencecountry | UK | - |
dc.identifier.conferencelocation | Glasgow, Scotland | - |
dc.contributor.localauthor | Yim, Man-Sung | - |
dc.contributor.nonIdAuthor | Jung, Yeachan | - |
dc.contributor.nonIdAuthor | Kim, Tae Ryoun | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.