Innovations in electrodermal activity data collection and signal processing: A systematic review

HF Posada-Quintero, KH Chon - Sensors, 2020‏ - mdpi.com
The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic
innervation of the sweat glands. EDA has a history in psychophysiological (including …

Wearable-based affect recognition—A review

P Schmidt, A Reiss, R Dürichen, K Van Laerhoven - Sensors, 2019‏ - mdpi.com
Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

NeuroKit2: A Python toolbox for neurophysiological signal processing

D Makowski, T Pham, ZJ Lau, JC Brammer… - Behavior research …, 2021‏ - Springer
NeuroKit2 is an open-source, community-driven, and user-centered Python package for
neurophysiological signal processing. It provides a comprehensive suite of processing …

Stress detection with machine learning and deep learning using multimodal physiological data

P Bobade, M Vani - 2020 Second International Conference on …, 2020‏ - ieeexplore.ieee.org
Stress is a common part of everyday life that most people have to deal with on various
occasions. However, having long-term stress, or a high degree of stress, will hinder our …

Continuous stress detection using wearable sensors in real life: Algorithmic programming contest case study

YS Can, N Chalabianloo, D Ekiz, C Ersoy - Sensors, 2019‏ - mdpi.com
The negative effects of mental stress on human health has been known for decades. High-
level stress must be detected at early stages to prevent these negative effects. After the …

An energy efficient IoT data compression approach for edge machine learning

J Azar, A Makhoul, M Barhamgi, R Couturier - Future Generation Computer …, 2019‏ - Elsevier
Many IoT systems generate a huge and varied amount of data that need to be processed
and responded to in a very short time. One of the major challenges is the high energy …

Feature extraction and selection for emotion recognition from electrodermal activity

J Shukla, M Barreda-Angeles, J Oliver… - IEEE Transactions …, 2019‏ - ieeexplore.ieee.org
Electrodermal activity (EDA) is indicative of psychological processes related to human
cognition and emotions. Previous research has studied many methods for extracting EDA …

The use of electrodermal activity (EDA) measurement to understand consumer emotions–A literature review and a call for action

D Caruelle, A Gustafsson, P Shams… - Journal of Business …, 2019‏ - Elsevier
Electrodermal activity (EDA) is a psychophysiological indicator of emotional arousal. EDA
measurement was first employed in consumer research in 1979 but has been scarcely used …

Structural equation models

JC Westland - Stud. Syst. Decis. Control, 2015‏ - Springer
This book evolved from a series of Ph. D. seminars presented to students both at Tsinghua
University in Bei**g and at the University of Illinois—Chicago. My lectures, in turn, grew out …

[HTML][HTML] Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures

N Akalin, A Kristoffersson, A Loutfi - International journal of human …, 2022‏ - Elsevier
Safety in human-robot interaction can be divided into physical safety and perceived safety,
where the latter is still under-addressed in the literature. Investigating perceived safety in …