R. J. Dolan, Emotion, Cognition, and Behavior, Science, vol.298, issue.5596, pp.1191-1194, 2002.
DOI : 10.1126/science.1076358

L. Gall, J. Azoulay, E. Embriaco, N. Poncet, M. Pochard et al., Burn out syndrome among critical care workers], p.389, 2011.

A. Weber and A. Jaekel-reinhard, Burnout Syndrome: A Disease of Modern Societies?, Occupational Medicine, vol.50, issue.7, pp.512-517, 2000.
DOI : 10.1093/occmed/50.7.512

C. D. Wickens, S. E. Gordon, and Y. Liu, An introduction to human factors engineering, 2004.

J. Rubin and D. Chisnell, Handbook of Usability Testing: Howto Plan, Design, and Conduct Effective Tests, 2008.

P. Cairns and A. L. Cox, Research methods for human-computer interaction, 2008.
DOI : 10.1017/CBO9780511814570

J. Lazar, J. H. Feng, and H. Hochheiser, Research methods in human-computer interaction, 2010.

A. Holzinger, Process Guide for Students for Interdisciplinary Work in Computer Science/Informatics: Instructions Manual-Handbuch für Studierende, BoD?Books on Demand, 2010.

N. Sharma and T. Gedeon, Objective measures, sensors and computational techniques for stress recognition and classification: A survey, Computer Methods and Programs in Biomedicine, vol.108, issue.3, pp.1287-1301, 2012.
DOI : 10.1016/j.cmpb.2012.07.003

URL : http://hdl.handle.net/1885/19096

A. Holzinger, On knowledge discovery and interactive intelligent visualization of biomedical data-challenges in human-computer interaction & biomedical informatics, 9th International Joint Conference on e-Business and Telecommunications, pp.9-20, 2012.

M. E. Dawson, A. M. Schell, and D. L. Filion, The electrodermal system Handbook of Psychophysiology. 3 edn, pp.159-181, 2007.

L. C. Johnson and A. Lubin, SPONTANEOUS ELECTRODERMAL ACTIVITY DURING WAKING AND SLEEPING, Psychophysiology, vol.1, issue.1, 1966.
DOI : 10.1016/0013-4694(64)90109-9

A. J. Camm, M. Malik, J. Bigger, G. Breithardt, S. Cerutti et al., Heart rate variability: standards of measurement, physiological interpretation and clinical use. task force of the european society of cardiology and the north american society of pacing and electrophysiology, Circulation, vol.93, issue.5, pp.1043-1065, 1996.

R. B. Devereux, M. J. Roman, V. Palmieri, P. M. Okin, K. Boman et al., Left ventricular wall stresses and wall stress???mass???heart rate products in hypertensive patients with electrocardiographic left ventricular hypertrophy, Journal of Hypertension, vol.18, issue.8, pp.1129-1138, 2000.
DOI : 10.1097/00004872-200018080-00019

A. B. Barreto, C. D. Aguilar, and E. E. Jakubzick, Adaptive LMS delay measurement in dual blood volume pulse signals for non-invasive monitoring [photoplethysmography], Proceedings of the 1997 16 Southern Biomedical Engineering Conference, pp.117-120, 1997.
DOI : 10.1109/SBEC.1997.583228

H. Silva, J. Sousa, and H. Gamboa, Study and evaluation of palmar blood volume pulse for heart rate monitoring in a multimodal framework, Computing Paradigms for Mental Health, p.35, 2012.

F. T. Sun, C. Kuo, H. T. Cheng, S. Buthpitiya, P. Collins et al., Activityaware mental stress detection using physiological sensors, Mobile Computing, Applications, and Services, pp.282-301, 2012.
DOI : 10.1007/978-3-642-29336-8_12

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.3363

F. H. Wilhelm, M. C. Pfaltz, P. Grossman, and W. T. Roth, Distinguishing emotional from physical activation in ambulatory psychophysiological monitoring, Biomedical Sciences Instrumentation, vol.42, pp.458-463, 2006.

. Wilddivine, (2013) [Online; accessed 01, 2013.

J. Zhai and A. Barreto, Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.1355-1358, 2006.
DOI : 10.1109/IEMBS.2006.259421

F. Canento, H. Silva, and A. Fred, Applicability of multi-modal electrophysiological data acquisition and processing to emotion recognition, Computing Paradigms for Mental Health, p.59, 2012.

J. Taelman, S. Vandeput, A. Spaepen, and S. Van-huffel, Influence of Mental Stress on Heart Rate and Heart Rate Variability, 4th European conference of the international federation for medical and biological engineering, pp.1366-1369, 2009.
DOI : 10.1007/978-3-540-89208-3_324

U. R. Acharya, K. P. Joseph, N. Kannathal, C. M. Lim, and J. S. Suri, Heart Rate Variability, Medical and Biological Engineering and Computing, vol.44, issue.12, pp.1031-1051, 2006.
DOI : 10.1007/978-3-540-36675-1_5

J. A. Healey and R. W. Picard, Detecting stress during real-world driving tasks using physiological sensors. Intelligent Transportation Systems, IEEE Transactions on, vol.6, issue.2, pp.156-166, 2005.
DOI : 10.1109/tits.2005.848368

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.7986

M. Buchheit, Y. Papelier, P. B. Laursen, and S. Ahmaidi, Noninvasive assessment of cardiac parasympathetic function: postexercise heart rate recovery or heart rate variability?, AJP: Heart and Circulatory Physiology, vol.293, issue.1, pp.8-10, 2007.
DOI : 10.1152/ajpheart.00335.2007

U. Zulfiqar, D. A. Jurivich, W. Gao, and D. H. Singer, Relation of High Heart Rate Variability to Healthy Longevity, The American Journal of Cardiology, vol.105, issue.8, pp.1181-1185, 2010.
DOI : 10.1016/j.amjcard.2009.12.022

A. Holzinger, M. Höller, M. Bloice, and B. Urlesberger, Typical problems with developing mobile applications for health care, ICE-B, p.235, 2008.

P. S. Ebert, Smart radar chart, p.530141, 2005.

M. F. Morris, Kiviat graphs, ACM SIGMETRICS Performance Evaluation Review, vol.3, issue.3, pp.2-8, 1974.
DOI : 10.1145/1041691.1041692

M. J. Saary, Radar plots: a useful way for presenting multivariate health care data, Journal of Clinical Epidemiology, vol.61, issue.4, pp.311-317, 2008.
DOI : 10.1016/j.jclinepi.2007.04.021

A. Alves, H. Silva, A. Lourenço, and A. Fred, BITalino: A Biosignal Acquisition System based on the Arduino, Proceeding of the 6th Conference on Bio-Inspired Systems and Signal Processing (BIOSIGNALS), 2013.