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Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment
2021
Energies
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Within this context, this review reports on a broader spectrum of available and advanced biosensing techniques used in the fields of building engineering, human physiology, neurology, and psychology. ...
humans using more objective and real-time measures. ...
The aim of this review is to offer a systematic and comprehensive insight on the current capacity to detect stress from the built environment using biosignal measures. ...
doi:10.3390/en14010232
fatcat:2q757yhtpjgelbmycm3lmg5jji
Detection and Characterization of Physical Activity and Psychological Stress from Wristband Data
2020
Signals
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In this study, we aimed to elucidate the effects of signal processing techniques on the accuracy of detecting and discriminating physical activity (PA) and acute psychological stress (APS) using physiological ...
equivalent of task (MET).The data filtering and adaptive noise cancellation techniques used to mitigate the effects of noise and artifacts on the classification results increased the detection and discrimination ...
Conclusions Signal processing and ML algorithms were used on five different biosignals reported by a single wristband to detect, classify, and quantify physical activities and acute psychological stress ...
doi:10.3390/signals1020011
fatcat:qa3czlng3jcq5olatniwlptjva
Machine learning ranks ECG as an optimal wearable biosignal for assessing driving stress
2020
IEEE Access
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The demand for wearable devices that can detect anxiety and stress when driving is increasing. Recent studies have attempted to use multiple biosignals to detect driving stress. ...
Thus, this study hypothesizes that the optimal signal for assessing driving stress will consistently detect stress using supervised and unsupervised machine learning (ML) techniques. ...
single biosignal for detecting driving stress. ...
doi:10.1109/access.2020.2974933
fatcat:3jeix7ssj5a7db7nw3x4hjk55i
A Workflow for Affective Computing and Stress Recognition from Biosignals
2020
Engineering Proceedings
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matrix computation using k-Cross, Leave-One-Subject-Out and Split Validations. ...
Affective computing and stress recognition from biosignals have a high potential in various medical applications such as early intervention, stress management and risk prevention, as well as monitoring ...
Figure 1 . 1 The biosignal processing workflow for affective computing and stress recognition. It is based on psychophysiological biosignals as input. ...
doi:10.3390/ecsa-7-08227
fatcat:gr7xtqx3w5af7c5q2baqews4n4
Biosignals in Human Factors Research for Heavy Equipment Operators: A Review of Available Methods and Their Feasibility in Laboratory and Ambulatory Studies
2021
IEEE Access
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The present paper reviews the use of biosignals in human factors and the ergonomics of heavy machines by focusing on stress detection for the last ten years. ...
INDEX TERMS Human stress detection, pattern recognition, biosignal processing, human factors and heavy equipment operator ergonomics. ...
In another investigation, Singh and Queyam [85] completed the previous study [86] using hybrid biosignals consisting of ECG, EMG, GSR, and BR to detect stress on three levels (low, moderate, and high ...
doi:10.1109/access.2021.3092516
fatcat:etwdtax37jh2rc4eo3xhj33ete
Portable System for Real-Time Detection of Stress Level
2018
Sensors
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In this paper, we propose a portable system for real-time detection of stress based on multiple biosignals such as electroencephalography, electrocardiography, electromyography, and galvanic skin response ...
In particular, for out-of-lab stress detection, a considerable number of biosignal-based methods and systems have been proposed. ...
According to the 2014 report of the American Psychological Association, most of U.S. population regularly experience physical (77%) or psychological (73%) symptoms caused by stress, the main ones being ...
doi:10.3390/s18082504
pmid:30071643
fatcat:25lwcx6levhrzpza2tmeqkas7m
Overview of Biosignal Analysis Methods for the Assessment of Stress
2021
Emerging Science Journal
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Moreover, a brief synopsis of biosignals that are used for the detection and categorization of stress and their analysis is presented. ...
This reaction has both positive and negative impact on the life of each individual. Thus, the problem of stress management is vital for the maintenance of a person's psychological balance. ...
Another interesting study [64] presents a brief overview of biosignals used in stress detection as well as machine learning classifiers used to characterize stress levels. ...
doi:10.28991/esj-2021-01267
fatcat:6vpe4xaxdnhk5mfpd2uts73tkq
Wearable and ambient sensing for well-being and emotional awareness in the smart workplace
2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16
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The prevention of long-term stress and the promotion of wellbeing, hence, can help us to live longer, healthier and happier lives. ...
The rising social acceptance of body-worn technology is also a driver for the increasing adoption of wearables on the consumer level -and especially the fitness and healthcare sector is booming [1]. ...
Mobile Sensing There is research on using mobile phone sensing to detect stress and emotional states. ...
doi:10.1145/2968219.2971360
dblp:conf/huc/Hansel16
fatcat:ybmyw6clbrcy3hjiht2czdpena
Live Biofeedback as a User Interface Design Element: A Review of the Literature
2018
Communications of the Association for Information Systems
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In this vein, this review can serve as a reference guide for researchers and practitioners on how to integrate self and foreign live biofeedback into information systems for everyday use. ...
In order to establish the current state of research on live biofeedback, we conducted a literature review on studies that examine self and foreign live biofeedback based on neurophysiological data for ...
Acknowledgments We thank Anuja Hariharan, Niklas Horstmann, and Herbert Jelinek for their feedback on an earlier version of this paper. ...
doi:10.17705/1cais.04318
fatcat:j4tjkbdxjrfl3pgcommxuizvby
A Sensor Technology Survey for a Stress-Aware Trading Process
2012
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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The purpose of this article is: 1) to review the studies about the impact of stress on the decision making process and on biological stress parameters that are applied in sensor design; 2) to compare different ...
This survey merges current knowledge about stress effects and sensor technology by reviewing, comparing, and highlighting relevant existing research and commercial products that are available on the market ...
[66] , attempt to detect stress by using biosignals under visual search tasks. Sul et al. [67] evaluate stress reactivity and recovery with biosignals and fuzzy theory. ...
doi:10.1109/tsmcc.2011.2179028
fatcat:ant556ct7zelxgs3mqni5yllsy
Continuous Noninvasive Pulse Transit Time Measurement for Psycho-physiological Stress Monitoring
2009
2009 International Conference on eHealth, Telemedicine, and Social Medicine
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In a study we investigate the correlation between the PTT and the stress induced by a psychological experiment. ...
Stress is one of the most common reasons for a number of serious diseases. For the prevention and treatment of stress, a psycho-physiological monitoring system for stress measurement is needed. ...
ECG-Sensor To detect ECG-Signal, we are using the two-lead method. ...
doi:10.1109/etelemed.2009.35
dblp:conf/etelemed/HeyGHWKL09
fatcat:zm2w2na43ja47fp5xuxfyb3yh4
Design considerations of a wearable electronic-skin for mental health and wellness: balancing biosignals and human factors
[article]
2021
bioRxiv
pre-print
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Conversely, appropriate stress management, can be used to foster mental wellness proactively. Yet, there is no existing method that accurately and objectively monitors stress. ...
By balancing human factors and biosignals, we conclude that the upper arm and forearm are optimal wear locations. ...
User preference data (S P ) and biosignal data (S B ) are used to find the optimal wear locations (I ) on the body. clothing. ...
doi:10.1101/2021.01.20.427496
fatcat:rftzsybqv5ephlbyrziox254i4
Research Trend on the Use of IT in Digital Addiction: An Investigation Using a Systematic Literature Review
2020
Future Internet
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The most commonly used IT in the selected studies are AI methods and biosignal recording systems. Various approaches in detection, prevention, and intervention are suggested in the selected studies. ...
The results show that addiction detection using IT is the most researched topic in digital addiction research. ...
Methodology We used a systematic review approach to find the existing groundwork on the use of IT in digital addiction research. ...
doi:10.3390/fi12100174
fatcat:36ww4jyszvhnnjiuyj3qkqcia4
Unobtrusive Health Monitoring in Private Spaces: The Smart Vehicle
2020
Sensors
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Health-oriented research on the medical use of sensor-derived physiological parameters is still of interest. ...
We reviewed retrospective literature systematically and summarized the up-to-date research on leveraging sensor technology for unobtrusive in-vehicle health monitoring. ...
To date, several authors use physiological information to monitor the driver state, detect fatigue, or assess stress, and the data is fed into driving assistance systems [18] [19] [20] . ...
doi:10.3390/s20092442
pmid:32344815
fatcat:42ngszyebzfjfdblntaqdiw3be
Applications of Biological and Physiological Signals in Commercial Video Gaming and Game Research: A Review
2021
Frontiers in Computer Science
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In this article, we discuss five of the most common biosignals that are used in gaming research, and their function and devices that may be used for measurement. ...
The use of physiological signal equipment can provide valuable information regarding the emotion of a player or patient during gameplay. ...
As we have reviewed, the present level of market penetration varies considerably among the different biosignals, depending on several factors such as the potential applications and benefits that these ...
doi:10.3389/fcomp.2021.557608
fatcat:oke7khj4lrgvxeyfwgfgknzaem
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