Electrocardiogram-based emotion recognition systems and their applications in healthcare—a review
Affective computing is a field of study that integrates human affects and emotions with
artificial intelligence into systems or devices. A system or device with affective computing is …
artificial intelligence into systems or devices. A system or device with affective computing is …
[HTML][HTML] Mental health monitoring with multimodal sensing and machine learning: A survey
Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …
continuous collection of data in an unobtrusive manner. Machine learning methods have …
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 …
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 …
occasions. However, having long-term stress, or a high degree of stress, will hinder our …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
Wearable-based affect recognition—A review
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 …
natural and social sciences. Affect recognition research aims to detect the affective state of a …
Mobile phone computing and the internet of things: A survey
A Kamilaris, A Pitsillides - IEEE Internet of things Journal, 2016 - ieeexplore.ieee.org
As the Internet of Things (IoT) and the Web of Things (WoT) are becoming a reality, their
interconnection with mobile phone computing is increasing. Mobile phone integrated …
interconnection with mobile phone computing is increasing. Mobile phone integrated …
Tapping into the wearable device revolution in the work environment: a systematic review
Purpose The purpose of this paper is to expand current knowledge about the recent trend of
wearable technology to assess both its potential in the work environment and the challenges …
wearable technology to assess both its potential in the work environment and the challenges …
Wearable, environmental, and smartphone-based passive sensing for mental health monitoring
M Sheikh, M Qassem, PA Kyriacou - Frontiers in digital health, 2021 - frontiersin.org
Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …
widely employed for the monitoring of mental health. Variations in parameters such as …
Stress detection in working people
S Sriramprakash, VD Prasanna, OVR Murthy - Procedia computer science, 2017 - Elsevier
Stress detector classifies a stressed individual from a normal one by acquiring his/her
physiological signals through appropriate sensors such as Electrocardiogram (ECG) …
physiological signals through appropriate sensors such as Electrocardiogram (ECG) …