An Iris based Smart System for Stress Identification

The critical stress problem is a crucial issue that needs considerations and requires a solution. A number of methods are used to identify and control the stress which includes different counseling programs and medication. But the diagnosis and identification of the stress and its levels is an important issue which does not have an on-time and accurate solution. Therefore, a non-invasive stress identification system is required that can identify stress and it's level. In this work, we have proposed and developed a non-invasive smart system for stress identification (SSSI). The SSSI takes human iris image and applies machine learning techniques to identify the level of stress based on the iridology map. While testing with 50 subjects having stress, the results confirm that the SSSI identifies the stress with an accuracy of 98%.

[1]  Olga Sourina,et al.  EEG Based Stress Monitoring , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

[2]  E Ernst,et al.  Iridology: not useful and potentially harmful. , 2000, Archives of ophthalmology.

[3]  Bharat Bhushan Sharma,et al.  Methodology of iris image analysis for clinical diagnosis , 2014, 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom).

[4]  Atul Bansal,et al.  Iris images based pre-diagnostic tool to predict obstructive lung diseases , 2018 .

[5]  Eduard Ayguadé,et al.  ViPS: Visual processing system for medical imaging , 2015, 2015 8th International Conference on Biomedical Engineering and Informatics (BMEI).

[6]  Aamir Saeed Malik,et al.  Machine Learning Framework for the Detection of Mental Stress at Multiple Levels , 2017, IEEE Access.

[7]  Tassadaq Hussain,et al.  ViPS: A novel visual processing system architecture for medical imaging , 2017, Biomed. Signal Process. Control..

[8]  Abdul Razak,et al.  Iridology Method for Detecting Effect of Water Quality and Stress in Fish , 2018 .

[9]  Eduard Ayguadé,et al.  EMVS: Embedded Multi Vector-core System , 2018, J. Syst. Archit..

[10]  Mobyen Uddin Ahmed,et al.  Classify and Diagnose Individual Stress Using Calibration and Fuzzy Case-Based Reasoning , 2007, ICCBR.

[11]  Tassadaq Hussain,et al.  PGC: a pattern-based graphics controller , 2014 .

[12]  Alfonso Troisi,et al.  Displacement Activities as a Behavioral Measure of Stress in Nonhuman Primates and Human Subjects , 2002, Stress.

[13]  D. Rutledge,et al.  Prevalence of secondary traumatic stress among emergency nurses. , 2009, Journal of emergency nursing: JEN : official publication of the Emergency Department Nurses Association.

[14]  Zhiwei Zhu,et al.  A Real-Time Human Stress Monitoring System Using Dynamic Bayesian Network , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[15]  John A Updegraff,et al.  Biobehavioral responses to stress in females: tend-and-befriend, not fight-or-flight. , 2000, Psychological review.

[16]  A. Simón,et al.  An evaluation of iridology. , 1979, JAMA.

[17]  Peter Funk,et al.  Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system , 2006, Artif. Intell. Medicine.

[18]  Eduard Ayguadé,et al.  Stand-Alone Memory Controller for Graphics System , 2014, ARC.

[19]  E. W. Bovard,et al.  Effect of Emotional Stress on Finger Temperature , 1957 .

[20]  G. Paxinos,et al.  THE HUMAN NERVOUS SYSTEM , 1975 .

[21]  Mahmud Dwi Sulistiyo,et al.  Iridology-based dyspepsia early detection using linear discriminant analysis and Cascade Correlation Neural Network , 2014, 2014 2nd International Conference on Information and Communication Technology (ICoICT).

[22]  David Habsara Hareva,et al.  The smart device for healthcare service: Iris diagnosis application , 2013, 2013 Eleventh International Conference on ICT and Knowledge Engineering.

[23]  Abdelmalik Taleb-Ahmed,et al.  A Heterogeneous Multi-Core Based Biomedical Application Processing System and Programming Toolkit , 2019, J. Signal Process. Syst..

[24]  Eduard Ayguade,et al.  An Iris based Lungs Pre-diagnostic System , 2019, 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET).

[25]  P. Tyler,et al.  Stress in Clinical Psychologists , 1996, The International journal of social psychiatry.