Mental stress detection based on soft computing techniques

Proceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011

Volumn , Issue , 2011, Pages 430-433

  Mokhayeri, F ^a   Akbarzadeh T, M R ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

fuzzy image processing; fuzzy support vector machine; genetic algorithm; mental stress recognition

Indexed keywords

AFFECTIVE STATE; AUTOMATIC ANALYSIS; CLASSIFICATION PROCESS; FUZZY IMAGE PROCESSING; FUZZY REASONING; FUZZY SUPPORT VECTOR MACHINES; FUZZY SVM; MENTAL STRESS; MENTAL STRESS RECOGNITION; PHOTOPLETHYSMOGRAM; PHYSIOLOGICAL SIGNALS; PUPIL DIAMETER; PUPIL DILATION; RECOGNITION SYSTEMS; SIGNAL PROCESSING TECHNIQUE; SOFTCOMPUTING TECHNIQUES; VIDEO CAPTURING; VIDEO SEQUENCES;

BIOINFORMATICS; EDGE DETECTION; FEATURE EXTRACTION; FUZZY FILTERS; HOUGH TRANSFORMS; IMAGE PROCESSING; PHYSIOLOGICAL MODELS; PHYSIOLOGY; SIGNAL DETECTION; SOFT COMPUTING; SUPPORT VECTOR MACHINES;

GENETIC ALGORITHMS;

EID: 84856036822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2011.80     Document Type: Conference Paper

References (12)

1. J. Healey and R. Picard, "SmartCar: detecting driver stress," Proc. Proc. 15th International Conference on Pattern Recognition, vol.214, pp. 218-221, 2000.
2. T.G.M. Vrijkotte, et al., "Effects of work stress on ambulatory blood pressure, heart rate, and heart rate variability," Hypertension, vol. 35, no. 4, pp. 880-886, 2000. (Pubitemid 30303944)
3. U. Lundberg, et al., "Psychophysiological stress and EMG activity of the trapezius muscle," International Journal of Behavioral Medicine, vol. 1, no. 4, pp. 354-370, 1994.
4. L. Bernardi, et al., "Physical activity influences heart rate variability and very-low-frequency components in Holter electrocardiograms, "Cardiovascular Research, vol. 32, no. 2, pp. 234, 1996.
5. J. Zhai and A. Barreto, "Stress detection in computer users based on digital signal processing of noninvasive physiological variables,"EMBS '06. 28th Annual International Conference of the IEEE, pp. 1355-1358, 2006.
6. H. Vahdat Nejad, H. Pourreza, H. Ebrahimi, "A novel fuzzy technique for image noise reduction", Transactions on Engineering, Computing, and Technology, V14, 2006.
7. T. Morris, P. Blenkhorn and F. Zaidi. "Blink detection for real-time eye tracking". Journal of Network and Computer Applications, Vol. 25, num. 2, pp. 129-143, 2002. (Pubitemid 35221140)
8. Abdallah A. Alshennawy, and Ayman A. Aly, "Edge Detection in Digital Images Using Fuzzy Logic Technique", World Academy of Science, Engineering and Technology 51, 2009.
9. Lim, S.,Lee, K., Byeon, O., Kim, T, "Efficient Iris Recognition through Improvement of Feature Vector and Classifier", ETRJ Journal, Vol. 23, Number 2, pp. 61-70, 2001. (Pubitemid 32590646)
10. Inoue T, Abe S. Fuzzy support vector machines for pattern classification. In: Proceeding of International Joint Conference on Neural Networks. Washington DC, pp.1449-1454, 2001.
11. N.Ozlem Ozcan, Fikret Gurgen, "Fuzzy Support Vector Machines for ECG Arrhythmia Detection", International Conference on Pattern Recognition, pp.2973-2976,2010.
12. J ing Zhai, Armando Barreto: Stress Recognition Using Non-invasive Technology. FLAIRS Conference, pp. 395-401, 2006.