Experimental identification of a mathematical model of human operator working under mental stress

• Autorzy: Kopyt A. , Zużewicz K. , Bartuzi P.

Identyfikatory

DOI

10.5277/ABB-00591-2016-03

• Języki publikacji: EN

Abstrakty

EN

In engineering the human is considered as one of the system elements. In most studies, his/her model remains unchanged due to the external factors. The present study shows that a relation between the mental stress and human dynamics cannot be neglected. The dynamic characteristics of the operator model change due to external stimuli, i.e., mental stress. The aim of this study was to present identification of a mathematical human model and measurement methodology of the mental stress level. To determine the level of human response to external stimuli, the electrocardiography (ECG) and electromyography (EMG) methods were applied. The results showed difference in model parameters that cannot be neglected during the modeling of the human operator. The present study points to the need of developing simplified human models, taking into account external stimuli that have direct impact on his/her effectiveness. Some interdisplinary investigation provide may benefits combining part of the automation and ergonomics research areas.

Słowa kluczowe

EN

human operator; identification; EMG; ECG

PL

identyfikacja; EMG; EKG

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Acta of Bioengineering and Biomechanics
• Rocznik: 2017
• Tom: Vol. 19, no. 3
• Strony: 177--185
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Kopyt A.

• Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Warsaw, Poland

autor

Zużewicz K.

• Central Institute for Labour Protection – National Research Institute, Warsaw, Poland

autor

Bartuzi P.

• Central Institute for Labour Protection – National Research Institute, Warsaw, Poland

Bibliografia

• [1] HESS R.A., Human-In-The-Loop Control, CRC Control Handbook, W.S. Levine (ed.), CRC Press, 1996, Chap. 80.
• [2] MCRUER D.T., Dynamic Response of Human Operators, USAF, WADC TR, 1957, 56–524.
• [3] MCRUER D.T., HOFMANN L.G., JEX H.R., MOORE G.P., PHATAK A.V., WEIR D.H., WOLKOVITCH J., New Approaches to Human-Pilot Vehicle Dynamic Analysis, Systems Technology, Incorporated, Hawthorne, California, 1968.
• [4] HESS R.A., Modeling the Effects of Display Quality upon Human Pilot Dynamics and Perceived Vehicle Handling Qualities, IEEE Transactions on Systems, Man and Cybernetics, 1995, Vol. 25, No. 2.
• [5] MCRUER D.T., JEX H.R., A Review of Quasi – Linear Pilot Models, IEEE Transactions on Human Factors in Electronics, 1967, Vol. HFE 8, No. 3.
• [6] BHATTACHARYYA H.P., Role of Human Operator in Closed Loop Control Systems, Defense Science Journal, 2014, Vol. 5, No. 2.
• [7] STEPHENS C., POPE A., SCERBO W., Adaptive Automation for Mitigation of Hazardous States of Awareness, The Polish Journal of Aviation Medicine and Psychology, 2014, Vol. 20, Issue 1.
• [8] BERNARDI L., WDOWCZYK-SZULC J., VALENTI C., CASTOLDI S., PASSINO C., SPADACINI G., SLEIGHT P., Effects of Controlled Breathing, Mental Activity and Mental Stress With or Without Verbalization on Heart Rate Variability, Elsvier Science Inc., Journal of the American College of Cardiology, 2000, Vol. 35, No. 6.
• [9] O’DWYER A., Engineering modeling on transfer function form for divers learners, http://www.aishe.org/events/2005-2006/conf2006/proceedings/poster-09.pdf
• [10] ALVAREZ ZAPATA G.O., GALVAO R.K.H., YONEYAMA T., Extracting Fuzzy Control Rules from Experimental Human Operator Data, IEEE Transactions on Systems, Man and Cybernetics, 1999, Vol. 29, No. 3.
• [11] ZUŻEWICZ K., SAULEWICZ A., KONARSKA M., Heart Rate Variability and Motion Sickness During Forklift Simulator Driving, International Journal of Occupational Safety and Ergonomics (JOSE), 2011, Vol. 17, No. 4, 403–410.
• [12] BARTUZI P., TOKARSKI T., ROMAN-LIU D., The effect of the fatty tissue on EMG signal in young women, Acta of Bioengineering and Biomechanics, 2010, Vol. 12, No. 2.
• [13] Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, Circulation, 1996, 93, 1043–1065.
• [14] GITTLEMAN B., DWAN T.E., SMILEY C.S., System Identification Human Tracking Response, IEEE Transactions On Education, 1992, Vol. 35, No. 1, 31–37.
• [15] S. SUZUKI, K. KURICHARA, K. FURATA, Variable Dynamics Assist Control On Haptic System For Human Adaptive Mechatronics, 44th IEEE Conference nn Decision and Control, 2005, 4596–4601.
• [16] LIAN-KUANG CHEN, GALIP ULSOY A., Identification of a driver steering model and model uncertainty from driving Simulator, Journal of Dynamics Systems, Measurement, and Control, 2001, Vol. 123, 623–629.
• [17] MatLab toolbox description, http://www.mathworks.com/products/ sysid/description3.html
• [18] GRABAREK I., ROMAN-LIU D., CHOROMAŃSKI W., BARTUZI P., Wpływ obciążenia psychicznego na sprawność działania i obciążenie mięśniowo-szkieletowe operatora, Prace Naukowe Politechniki Warszawskiej, Transport, 2011, Z. 78, 37–51.
• [19] T. Biofeedback as Scientific Method, [in:] G. Schwartz, J. Beatty (eds.), Biofeedback – Theory and Research, Academic Press, New York 1977, pp. 9–28.
• [20] POPE A.T., BOGART E.H., Extended Attention Span Training System. Video Game Neurotherapy for Attention deficit disorder, Child Study Journal, 1996, Vol. 26, Issue 1, 39.
• [21] MASON D.T., Heart Rate Variability: A measure of Cardiac Autonimic Tone.
• [22] VELTMAN J.A., JANSEN C., The Role of the Operator Assessment In Adaptive Automation, TNO Defense, Security and Safety, TNO-DV3 A245, 2005.
• [23] ZACHARIAS G.I., Identification of Visual Evoked Response Parameters Sensitive to Pilot Mental State, NASA Contract Report 4140, 1988.
• [24] POPE A.T., BOGART E.H., BARTOLOME D.S., Biocybernetic System Validates Index of Operator Engagement in Automated Task. Biological Psychology, 1995, 40, 187–195.
• [25] POWERS W.T. et al., Perceptual control Theory A Model for Understanding the Mechanism and Phenomena of Control, published on www.pctweb.org, 2011
• [26] FREEMAN F.G., MIKULLKA P.J., SCREBO M.W., PRINZEL L.J., CLOUATRE K., Evaluation of a Psychophysiological Controlled Adaptive Automation System, Using Performance on a Tracking Task, Applied Psychophysiological and Biofeedback, 2000, Vol. 25, No. 2.
• [27] FURUTA K., KADO Y., SHINRATORI S., Assisting Control in Human Adaptive Mechatronics – Single Ball Juggling, Proceedings of the IEEE, international Conference on Control Applications, Munich, Germany, 2006.
• [28] MURRAY C.C., PARK W., Incorporating Human Factors Considerations in Unmanned AerialVehicle Routing, Systems, Man, and Cybernetics: Systems, IEEE Transactions, 2012, Vol. 43, Issue 4.
• [29] AUGUSTYNIAK P., Interpretive software conversion following changes of patient status and diagnostic goals, Acta of Bioengineering and Biomechanics, 2009, Vol. 11, No. 2.
• [30] ROMAN-LIU D., TOKARSKI T., Arm and forearm muscle EMG activities with regard to handgrip force in relation to upper limb location, Acta of Bioengineering and Biomechanics, 2002, No. 4(2), 33–47.