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A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection
2014
International Journal of Advanced Science and Technology
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The system estimates driver alertness based on extracted symptoms and alarms if needed. ...
One symptom is based on steering motion and another one is based on driver face monitoring. In this system, drowsiness level was determined by a combinational NN. ...
One of the methods for representation of uncertainty is based on probability theory. ...
doi:10.14257/ijast.2014.64.07
fatcat:wqzph4nohrcifgh4lknbsqov4y
The role of workload and driver coping styles in predicting bus drivers' need for recovery, positive and negative affect, and physical symptoms
2008
Anxiety, Stress, & Coping
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Strategies for management of fatigue in bus drivers should focus on the assessment and remediation of maladaptive coping strategies which impact of drivers' need for recovery which in turn predicts positive ...
Results of hierarchical regression analyses revealed that the workload was a significant predictor of drivers' need for recovery but not of their positive and negative affect nor of their physical symptoms ...
ACKNOWLEDGEMENTS The assistance of Dr Gerry Matthews in providing access to the Driver Coping Questionnaire is gratefully acknowledged. ...
doi:10.1080/10615800701766049
pmid:18608137
fatcat:7njjcxlxt5dvvanicbur2xqyvu
Concordance networks and application to clustering cancer symptomology
2018
PLoS ONE
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This article develops a method for identifying patient communities based on bridge symptoms termed concordance network clustering. ...
At the same time, there are often core symptoms that act as common drivers for other symptoms, such as fatigue leading to depression and cognitive dysfunction. ...
While commonly used methods for clustering patients based on symptoms, such as hierarchical and other methods of clustering, are used to divide patients into groups based on common symptom sets [13, 14 ...
doi:10.1371/journal.pone.0191981
pmid:29538418
pmcid:PMC5851541
fatcat:7dhm2e77gvc2rfhzkzjk7gjzd4
Driver Inattention Monitoring System for Intelligent Vehicles: A Review
2011
IEEE transactions on intelligent transportation systems (Print)
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In this paper, we review the state-of-the-art technologies for driver inattention monitoring, which can be classified into the following two main categories: 1) distraction and 2) fatigue. ...
Driver inattention is a major factor in most traffic accidents. Research and development has actively been carried out for decades, with the goal of precisely determining the drivers' state of mind. ...
Similarly, based on the pupil and nostril positions, Bergasa et al. [50] made a coarse 3-D face pose estimation. ...
doi:10.1109/tits.2010.2092770
fatcat:bgnlewweorguzhswkz4spwaeli
Driver inattention monitoring system for intelligent vehicles: A review
2009
2009 IEEE Intelligent Vehicles Symposium
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In this paper, we review the state-of-the-art technologies for driver inattention monitoring, which can be classified into the following two main categories: 1) distraction and 2) fatigue. ...
Driver inattention is a major factor in most traffic accidents. Research and development has actively been carried out for decades, with the goal of precisely determining the drivers' state of mind. ...
Similarly, based on the pupil and nostril positions, Bergasa et al. [50] made a coarse 3-D face pose estimation. ...
doi:10.1109/ivs.2009.5164395
fatcat:3qxrxi3bqreqjisnjzces3btda
Distinct Illness Representation Profiles Are Associated With Anxiety in Women Testing Positive for Human Papillomavirus
2021
Annals of Behavioral Medicine
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Hierarchal linear regression revealed that these latent illness representation profiles accounted for 21.8% of the variance in anxiety, after adjusting for demographic and clinical characteristics. ...
meaningful between-group differences (mean difference [MD] = 17.26, confidence interval [CI]: 14.29-20.22 and MD = 13.20, CI: 9.45-16.96 on the S-STAI-6, respectively). ...
Thank you to Ruth Stubbs, Louise Cadman, and Imogen Pinnell for their input on the survey development and also to Public Health England for facilitating the public-facing aspects of the study. ...
doi:10.1093/abm/kaab022
pmid:33881145
pmcid:PMC8691260
fatcat:dbxfyqbrizgvdkur7w7tgknbt4
Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions
2021
Frontiers in Psychiatry
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Further research can focus on incorporating evolving methods for addressing data imbalances, understanding factors that affect generalizability across samples and healthcare systems, expanding the richness ...
general overview of machine learning concepts, summarize exemplar studies, describe continued challenges, and propose innovative research directions.Conclusion: Machine learning has potential for improving estimation ...
A decision tree learns in a hierarchical fashion by iteratively splitting the dataset into increasingly smaller subsets based on decision criteria on a given variable. ...
doi:10.3389/fpsyt.2021.707916
pmid:34413800
pmcid:PMC8369059
fatcat:uig5ejryr5drncfasxw4vubg34
Symptom-based stratification of patients with primary Sjögren's syndrome: multi-dimensional characterisation of international observational cohorts and reanalyses of randomised clinical trials
2019
The Lancet Rheumatology
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We did hierarchical cluster analysis using five common symptoms associated with primary Sjögren's syndrome (pain, fatigue, dryness, anxiety, and depression), followed by multinomial logistic regression ...
In the UKPSSR cohort (n=608), we identified four subgroups: Low symptom burden (LSB), high symptom burden (HSB), dryness dominant with fatigue (DDF), and pain dominant with fatigue (PDF). ...
Cluster discovery and model development Symptom-based subgroups were first identified by hierarchical cluster analysis of the severity of five common symptoms of primary Sjögren's syndrome (pain, fatigue ...
doi:10.1016/s2665-9913(19)30042-6
pmid:38229348
pmcid:PMC7134527
fatcat:acvxktrvdvhblmbazkmjecvgny
A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms
2015
Sensors
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The aim of the investigation is to evaluate the possibilities for unique driver identification utilizing the approaches identified in other driver behaviour studies. ...
An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style analysis systems. ...
Driver state estimation is also performed in [60] , which relies on rule based estimation due to the fact that the vehicle trajectory will follow the action performed by the driver. ...
doi:10.3390/s151229822
pmid:26690164
pmcid:PMC4721742
fatcat:jpvbcqf775f2xiapw27226q6zm
Patterns of symptom burden during radiotherapy or concurrent chemoradiotherapy for head and neck cancer: A prospective analysis using the University of Texas MD Anderson Cancer Center Symptom Inventory-Head and Neck Module
2014
Cancer
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Symptom scores were compared between treatment groups, and hierarchical cluster analysis was used to depict clustering of symptoms at treatment end. ...
On multivariate analysis, baseline performance status (P<0.001) and receipt of CCRT (P<0.04) correlated with higher symptom severity. ...
Hierarchical cluster analysis of symptoms at the end of therapy was used to provide a pictorial representation of how symptoms clustered at that time. ...
doi:10.1002/cncr.28672
pmid:24711162
pmcid:PMC4095802
fatcat:4fpbhzm4tfgmzjmx7elsudcoxi
The Institutional Dimension of Integration in Marine Spatial Planning: The Case of the Dutch North Sea Dialogues and Agreement
2021
Frontiers in Marine Science
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The place-based and temporal dimensions of integration require additional attention because this is where stakeholders most notably rely on existing institutional frameworks and conflicts are most prominent ...
Molendijk for comments on an earlier versions of the manuscript and R. Grasman for input on the statistical analysis. ...
Graphical representations of such networks-where symptoms are represented as nodes and relations between symptoms as edges between nodes-provide an interpretable visualization of the data structure. ...
doi:10.3389/fmars.2021.712982
fatcat:yq3uivpjszdbfcv43xyn7picnq
Cancer and treatment-related symptoms are associated with mobility disability in women with ovarian cancer: A cross-sectional study
2016
Gynecologic Oncology
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Independent predictors included: > one comorbidity (β = 0.112, p = 0.001), active OC (β = 0.111, p = 0.037), abdominal bloating (β = 0.097, p = 0.006), fatigue (β = 0.314, p < 0.001), lack of appetite ...
We used the Symptom Representation Questionnaire (SRQ), the MD Anderson Symptom Inventory (MDASI) Interference Scale, and medical and demographic information to determine prevalence of symptom-related ...
The funding agencies had no involvement in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. ...
doi:10.1016/j.ygyno.2016.09.013
pmid:27653982
pmcid:PMC5116395
fatcat:363mcdtnenaqvmi6k6qmmrwklu
The exploratory value of cross-sectional partial correlation networks: Predicting relationships between change trajectories in borderline personality disorder
2021
PLoS ONE
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Objective Within the network approach to psychopathology, cross-sectional partial correlation networks have frequently been used to estimate relationships between symptoms. ...
symptom should relate to change in connected symptoms. ...
Molendijk for comments on an earlier versions of the manuscript and R. Grasman for input on the statistical analysis. ...
doi:10.1371/journal.pone.0254496
pmid:34329316
pmcid:PMC8323921
fatcat:um6o6oypwzh2ffps5n4uws7rqq
Enhanced Presence in Driving Simulators Using Autonomous Traffic with Virtual Personalities
2002
Presence - Teleoperators and Virtual Environments
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A ck no w led gment s This paper is based on a doctoral dissertation by Wright (2000) in the School of Computing, University of Leeds. ...
Also, increased aggression is commonly observed in drunk drivers. From this interpretation, aggression may be considered as a symptom of the driving style rather than as an isolated trait. ...
Stage 4 -Modify Choice for Natural Representation. ...
doi:10.1162/105474602321050712
fatcat:g7pbt2xh5ngwdnzobfxiemf4ni
Breathlessness in COPD: linking symptom clusters with brain activity
2021
European Respiratory Journal
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Unsupervised machine learning techniques of exploratory factor analysis and hierarchical cluster modelling were used to model brain-behaviour-breathlessness links.ResultsWe successfully stratified participants ...
Compared to the high symptom load group, the low symptom burden group demonstrated significantly greater brain activity within the anterior insula, a key region thought to be involved in monitoring internal ...
The full list of measures included in the cluster analysis is as follows:
Age
Body Mass Index Hierarchical cluster models reorder variables based on their correlation strengths so that groups of related ...
doi:10.1183/13993003.04099-2020
pmid:33875493
pmcid:PMC8607925
fatcat:kuzcxq57xzcdloc6rozpjhwfti
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