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Application of artificial intelligence in wearable devices: Opportunities and challenges
D Nahavandi, R Alizadehsani, A Khosravi… - Computer Methods and …, 2022 - Elsevier
Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …
Review on psychological stress detection using biosignals
G Giannakakis, D Grigoriadis… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …
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 …
innervation of the sweat glands. EDA has a history in psychophysiological (including …
Introducing wesad, a multimodal dataset for wearable stress and affect detection
P Schmidt, A Reiss, R Duerichen, C Marberger… - Proceedings of the 20th …, 2018 - dl.acm.org
Affect recognition aims to detect a person's affective state based on observables, with the
goal to eg improve human-computer interaction. Long-term stress is known to have severe …
goal to eg improve human-computer interaction. Long-term stress is known to have severe …
Ergonomic human-robot collaboration in industry: A review
M Lorenzini, M Lagomarsino, L Fortini… - Frontiers in Robotics …, 2023 - frontiersin.org
In the current industrial context, the importance of assessing and improving workers' health
conditions is widely recognised. Both physical and psycho-social factors contribute to …
conditions is widely recognised. Both physical and psycho-social factors contribute to …
[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
The validity of physiological measures to identify differences in intrinsic cognitive load
A sample of 33 experiments was extracted from the Web-of-Science database over a 5-year
period (2016–2020) that used physiological measures to measure intrinsic cognitive load …
period (2016–2020) that used physiological measures to measure intrinsic cognitive load …
Wearable sensors for remote health monitoring
S Majumder, T Mondal, MJ Deen - Sensors, 2017 - mdpi.com
Life expectancy in most countries has been increasing continually over the several few
decades thanks to significant improvements in medicine, public health, as well as personal …
decades thanks to significant improvements in medicine, public health, as well as personal …
[HTML][HTML] Emotion recognition in immersive virtual reality: From statistics to affective computing
J Marín-Morales, C Llinares, J Guixeres, M Alcañiz - Sensors, 2020 - mdpi.com
Emotions play a critical role in our daily lives, so the understanding and recognition of
emotional responses is crucial for human research. Affective computing research has mostly …
emotional responses is crucial for human research. Affective computing research has mostly …
Machine learning-based detection of acute psychosocial stress from body posture and movements
Investigating acute stress responses is crucial to understanding the underlying mechanisms
of stress. Current stress assessment methods include self-reports that can be biased and …
of stress. Current stress assessment methods include self-reports that can be biased and …