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A comparative study of machine learning techniques for emotion recognition using peripheral physiological signals
(Athlone Institute of Technology, 2020-06)
Emotions in human produce physical and physiological changes.
Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition
Peripheral ...
A novel mixed methods approach to synthesize EDA data with behavioral data to gain educational insight
(MDPI, 2020-11-30)
Whilst investigating student performance in design and arithmetic tasks, as well as during
exams, electrodermal activity (EDA)-based sensors have been used in attempts to understand
cognitive function and cognitive load. ...
A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals.
(IEEE, 2020-06)
Recent developments in wearable technology
have led to increased research interest in using peripheral
physiological signals for emotion recognition. The non-invasive
nature of peripheral physiological signal measurement ...