Rövidített megjelenítés

Shvets, Olga
Smakanov, Bauyrzhan
Bakatbayeva, Zhanerke
Petőné Csuka, Ildikó
2026-10-06T07:55:48Z
2026-10-06T07:55:48Z
2021
http://hdl.handle.net/20.500.14044/40682
The relevance of increasing the level of safety of the population at work is obvious today. A special place is occupied by work associated with increased danger in the case of monotonous, routine work, when a person ceases to adequately control the situation due to fatigue or distraction of attention, for example, when guarding objects in front of monitors of security cameras, when the driver of a vehicle is driving for a long time, etc. The use of modern digital technologies in this area is a promising area of research. The results of the work are aimed at improving the safety of people engaged in monotonous activities in real time using neural networks. Application area is operational monitoring of the state of a person at hazardous work, for example security of objects or driver of a vehicle. In this study, the design of an intelligent system for monitoring a person's condition during hazardous work (awake or asleep) is considered.hu_HU
dc.formatpdfhu_HU
enhu_HU
Monitoring Of The State Of A Person At Hazardous Workhu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
2021. November 11.hu_HU
Székesfehérvárhu_HU
Alba Regia Műszaki Karhu_HU
Óbudai Egyetemhu_HU
Bölcsészettudományok - pszichológiai tudományokhu_HU
neural networkshu_HU
emotions recognitionhu_HU
software developmenthu_HU
Konferenciaközleményhu_HU
AIS 2021 16th International Symposium on Applied Informatics and Related Areas Proceedingshu_HU
local.tempfieldCollectionsKönyvrészletekhu_HU
20.hu_HU
Kiadói változathu_HU
4 p.hu_HU
AIS 2021 16th International Symposium on Applied Informatics and Related Areashu_HU
978-963-449-263-4hu_HU
2021hu_HU
Óbudai Egyetemhu_HU
Székesfehérvárhu_HU


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