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Identification of Mentalstress using Machine Learning Technique Based on Eye Features

Pradeep N
2020 International Journal for Research in Applied Science and Engineering Technology  
One of the mental stress is health identification of individuals due to association with cognitive performances and health outcomes in younger and older adults.  ...  To test our model, we collected eye-tracking image from younger and older adults as they before and after performing cognitive tasks. In our model detected the accuracy in this project.  ...  We collected eye-tracking data from 18 participants while they watched video clips and tested whether our model could detect mental stress induced by auditory cognitive tasks.  ... 
doi:10.22214/ijraset.2020.31727 fatcat:zjvyzpklvrdb3cl2zypu3uc2ii

Psychotherapy and Mental Health as a Psychological Science Discipline

Hans-Ulrich Wittchen, Samia Härtling, Jürgen Hoyer
2015 Verhaltenstherapie (Basel)  
die Grundlagen-und experimentelle Forschung mit klinischer Forschung, Translation und Public-health-Implikationen verknüpft.  ...  Für eine verbesserte Identifikation von zentralen Vulnerabilitäts-und Risikofaktoren sowie ätiologisch relevanten Schlüsselprozessen wird ein integratives translationales Modell vorgeschlagen, welches  ...  More research on applying and implementing e-mental health tools and Internet-based treatment for mental disorders in several specific fields is needed Prevention of mental disorders and public health.  ... 
doi:10.1159/000430772 fatcat:v32qyp7qavdgbpnl3rwcqey7bi

Activity-Aware Deep Cognitive Fatigue Assessment using Wearables [article]

Mohammad Arif Ul Alam
2021 arXiv   pre-print
While existing multi-modal wearable sensors-aided automatic cognitive fatigue monitoring tools have focused on physical and physiological sensors (ECG, PPG, Actigraphy) analytic on specific group of people  ...  In this paper, we propose a novel framework, Activity-Aware Recurrent Neural Network (AcRoNN), that can generalize individual activity recognition and improve cognitive fatigue estimation significantly  ...  Stage One: Cognitive Fatigue Detection and Contextual Feature Map Generation This stage involves feature extraction, activity recognition and activity-based score mapping for cognitive fatigue detection  ... 
arXiv:2105.02824v1 fatcat:csqlheap3jfo7clz7qqovoazna

An Online Framework for Cognitive Load Assessment in Assembly Tasks [article]

Marta Lagomarsino, Marta Lorenzini, Elena De Momi, Arash Ajoudani
2021 arXiv   pre-print
According to data gathered in this study, a vision-based cognitive load assessment has the potential to be integrated into the development of mechatronic systems for improving cognitive ergonomics in manufacturing  ...  This paper presents a novel method for online assessment of cognitive load in manufacturing, primarily assembly, by detecting patterns in human motion directly from the input images of a stereo camera.  ...  Firstly, they are based on the assumption that people are able to introspect on the cognitive processes and report the amount of experienced cognitive effort.  ... 
arXiv:2109.03627v2 fatcat:wxgsqh57c5do5gdq6ck7fejtw4

Alertness-based subject-dependent and subject-independent filter optimization for improving classification efficiency of SSVEP detection

Lei Cao, Chunjiang Fan, Zijian Wang, Lusong Hou, Haoran Wang, Gang Li
2020 Technology and Health Care  
Mental task-based brain computer interface (BCI) systems are usually developed for neural prostheses technologies and medical rehabilitation.  ...  The mental workload was too heavy for the user to manipulate BCI effectively.  ...  However, the result of the SD-SM model-based approach suggested that low-alert cognitive states and sleepy mental states have similar spectral features.  ... 
doi:10.3233/thc-209017 pmid:32364149 fatcat:t3o4z4kymzcnrhxxuf36gwdvpa

LSTM Based Mental Stress Level Detection using Wearable Sensor Devices

Yashvant Dev, Mayank Namdev, Dr Ritu Shrivastava, Dr Rajiv Srivastava
2022 Zenodo  
Many physical health issues related to stress can be avoided if mental stress is detected beforehand.  ...  The paper proposes various machine learning and deep learning algorithms for stress detection on persons using wearable sensing devices, which can help people avoid various stress-related health problems  ...  [15] proposed a real-time mental stress detection during cognitive tasks performed by an individual.  ... 
doi:10.5281/zenodo.5881788 fatcat:6rwqyfgfg5ei5ljxo52govucyu

Predicting Mental Health Problems with Automatic Identification of Metaphors

Nan Shi, Dongyu Zhang, Lulu Li, Shengjun Xu
2021 Journal of Healthcare Engineering  
In this paper, we propose a method for automatically detecting metaphors in texts to predict various mental health problems, specifically anxiety, depression, inferiority, sensitivity, social phobias,  ...  Mental health problems are prevalent and an important issue in medicine.  ...  We used a metaphor-based feature set and a sentiment-based feature set to build Metaphor-Sentiment Model (MSM) for predicting mental health status.  ... 
doi:10.1155/2021/5582714 pmid:34012545 pmcid:PMC8105119 fatcat:nwnq7avg3bco5cxaf4z3s4amgu


Matīss Eriņš, Oļesja Minejeva, Zigurds Markovičs, Juris Lauznis, Raivis Kivlenieks
2019 Environment Technology Resources Proceedings of the International Scientific and Practical Conference  
input for the evaluation of workability and efficiency on task.  ...  Fatigue is an object of research in physiology, psychology, work ergonomics, medicine, and biotechnology where each domain has a focus on mental fatigue.  ...  They are associated with higher cognitive processes and attention focus when human is engaged in mental work and is focused on solving a problem.  ... 
doi:10.17770/etr2019vol2.4148 fatcat:waftekipizhxpcqgxkrow7ylru

What Can We Learn About Mental Health Needs From Tweets Mentioning Dementia on World Alzheimer's Day?

Sunmoo Yoon
2016 Journal of the American Psychiatric Nurses Association  
Topic modeling and social network analysis were applied to uncover content and structure of user communication.  ...  , and insights regarding dementia care and mental health.  ...  Part of this research was performed while the author was in residence at the Institute for Pure and Applied Mathematics (IPAM), which is supported by the National Science Foundation.  ... 
doi:10.1177/1078390316663690 pmid:27803262 pmcid:PMC5337405 fatcat:kkv3cglqqzbufcm3lr7tfln4ra


2019 RAM. Revista de Administração Mackenzie  
Findings: The main contributions of this study are: 1. the reformulation of the concept of cognitive dynamic capability; 2. the inclusion of the concepts of controlled and automatic mental processing in  ...  models and firm performance.  ...  and controlled mental processes in the theoretical model.  ... 
doi:10.1590/1678-6971/eramr190171 fatcat:ek277azovzcajkttwxnh4u7cyq

The Role of Images on Illness Behaviour: Interdisciplinary Theory, Evidence, and Ideas

Jennifer Murray, Brian Williams
2020 Psychological Reports  
The current paper synthesised literature across social and behavioural sciences exploring illness experience and communication through physical and mental images.  ...  It argues that images may have the capacity to embody and influence beliefs, emotions, and health outcomes.  ...  base for applying this theory and literature to visual/image-based intervention development is scarce.  ... 
doi:10.1177/0033294120945602 pmid:32757718 pmcid:PMC8647478 fatcat:uaiycizpxvd43b7ccho3k6gway

Multi-Parameter Physiological State Monitoring in Target Detection Under Real-World Settings

Yang Chang, Congying He, Bo-Yu Tsai, Li-Wei Ko
2021 Frontiers in Human Neuroscience  
We designed a target detection experiment modified by a cognitive attention network test for validating the effectiveness of the proposed indicator, as such conditions would better approximate a real chaotic  ...  Mental state changes induced by stimuli under experimental settings or by daily events in real life affect task performance and are entwined with physical and mental health.  ...  Cory Stevenson for editing assistance, and the Information and Communications Research Division, National Chung-Shan Institute of Science and Technology for supporting the research.  ... 
doi:10.3389/fnhum.2021.785562 pmid:35002658 pmcid:PMC8727696 fatcat:eyg64uxvjjdt5opuyahe35f6y4

Game-based Digital Biomarkers for Modeling Mental Health: A Scoping Review (Preprint)

Regan Lee Mandryk, Max Valentin Birk
2019 JMIR Mental Health  
For each type of biomarker, we describe the data type, the game-based sources from which it can be derived, its importance for mental health modeling, and any existing statistical associations with mental  ...  In this paper, we argue that game-based data from commercial off-the-shelf games have the potential to be used as a digital biomarker to assess and model mental health and health decline.  ...  Acknowledgements We thank NSERC and SWaGUR for funding and the Interaction Lab at the University of Saskatchewan and the Eindhoven University of Technology for support.  ... 
doi:10.2196/13485 pmid:31012857 pmcid:PMC6658250 fatcat:6euganwlp5gdjdeulvuf7ukaz4

School-Based Anxiety Treatments for Children and Adolescents

Kathleen Herzig-Anderson, Daniela Colognori, Jeremy K. Fox, Catherine E. Stewart, Carrie Masia Warner
2012 Child and Adolescent Psychiatric Clinics of North America  
ADVANTAGES OF SCHOOL-BASED TREATMENT Schools are viewed as a promising avenue for providing mental health services to children and adolescents.  ...  Schools are already the main point-of-entry into the mental health service system for youth, 9-12 with one study showing that more than 70% of mental health treatment  ...  For instance, Ringeisen and colleagues 39 suggest replacing the current individualized case management approach to school-based mental health care with a model combining classroom-based intervention  ... 
doi:10.1016/j.chc.2012.05.006 pmid:22801000 pmcid:PMC3399129 fatcat:xd3tk75hovhfhhxpmd66lmzltm

Monitoring Dementia with Automatic Eye Movements Analysis [chapter]

Yanxia Zhang, Thomas Wilcockson, Kwang In Kim, Trevor Crawford, Hans Gellersen, Pete Sawyer
2016 Smart Innovation, Systems and Technologies  
Eye movement patterns are found to reveal human cognitive and mental states that can not be easily measured by other biological signals.  ...  By using computational methods, we identified eye movement features that are correlated to people's cognitive health measures obtained through the standard cognitive tests.  ...  Based on a computational model of visual attention, they extracted 224 quantitative features from the patients and controls' eye tracking data.  ... 
doi:10.1007/978-3-319-39627-9_26 fatcat:jumiseskqfghfjzo65zj4kb7pi
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