Galvanic skin response based stress level detection using supervised machine learning approach

Stress increases the risk of heart problems and can be a hindrance in daily chores. In this study, we have acquired values using a Galvanic Skin Response (GSR) sensor. GSR is a measurement of ongoing changes in the electrical properties (conductivity) of the skin brought on by variations in the acti...

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Hauptverfasser:	Satapathy, Chirag, Gokhale, Hrishikesh, Syed, Ali Zoya, Nersisson, Ruban
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Electrical properties Electrical resistivity Galvanic skin response Machine learning Perspiration Skin resistance Stress Supervised learning
Online-Zugang:	Volltext
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