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Innovations in electrodermal activity data collection and signal processing: A systematic review
The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic
innervation of the sweat glands. EDA has a history in psychophysiological (including …
innervation of the sweat glands. EDA has a history in psychophysiological (including …
Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …
Electrodermal activity measure: A methodological review
As an alternative technique to traditional self-report questionnaire, electrodermal activity
measurement can offer great accuracy in recording customers' moment-to-moment …
measurement can offer great accuracy in recording customers' moment-to-moment …
Adapting visual complexity based on electrodermal activity improves working memory performance in virtual reality
Biocybernetic loops encompass users' state detection and system adaptation based on
physiological signals. Current adaptive systems limit the adaptation to task features such as …
physiological signals. Current adaptive systems limit the adaptation to task features such as …
Extraction and interpretation of deep autoencoder-based temporal features from wearables for forecasting personalized mood, health, and stress
Continuous wearable sensor data in high resolution contain physiological and behavioral
information that can be utilized to predict human health and wellbeing, establishing the …
information that can be utilized to predict human health and wellbeing, establishing the …
Simple, transparent, and flexible automated quality assessment procedures for ambulatory electrodermal activity data
Objective: Electrodermal activity (EDA) is a noninvasive measure of sympathetic activation
often used to study emotions, decision making, and health. The use of “ambulatory” EDA in …
often used to study emotions, decision making, and health. The use of “ambulatory” EDA in …
Electrodermal activity based pre-surgery stress detection using a wrist wearable
AS Anusha, P Sukumaran… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Surgery is a particularly potent stressor and the detrimental effects of stress on people
undergoing any surgery is indisputable. When left unchecked, the pre-surgery stress …
undergoing any surgery is indisputable. When left unchecked, the pre-surgery stress …
Automatic motion artifact detection in electrodermal activity data using machine learning
Background and objective Electrodermal activity (EDA) has gained popularity in recent
years for diverse applications such as emotion and stress recognition; assessment of pain …
years for diverse applications such as emotion and stress recognition; assessment of pain …
Driver drowsiness detection: A machine learning approach on skin conductance
The majority of car accidents worldwide are caused by drowsy drivers. Therefore, it is
important to be able to detect when a driver is starting to feel drowsy in order to warn them …
important to be able to detect when a driver is starting to feel drowsy in order to warn them …
An emotional roller coaster: Electrophysiological evidence of emotional engagement during a roller-coaster ride with virtual reality add-on
Emotions are crucial ingredients of meaningful and memorable tourism experiences.
Research methods borrowed from experimental psychology are prime candidates for …
Research methods borrowed from experimental psychology are prime candidates for …