Sensor-based identification of human stress levels

2013 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2013

Volumn , Issue , 2013, Pages 127-132

  Frank, Korbinian ^a   Robertson, Patrick ^a   Gross, Michael ^b   Wiesner, Kevin ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

Author keywords

activity recognition; Bayesian; context; inference; stress

Indexed keywords

ACTIVITY RECOGNITION; BAYESIAN; CONTEXT; INERTIAL MEASUREMENT UNIT; INFERENCE; MOBILE ENVIRONMENTS; STATIC ENVIRONMENT; STRESS RECOGNITION;

BAYESIAN NETWORKS; PATTERN RECOGNITION; STRESSES; UNITS OF MEASUREMENT;

UBIQUITOUS COMPUTING;

EID: 84881527349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerComW.2013.6529469     Document Type: Conference Paper

References (21)

1. H. W. Krohne, "Stress and coping theories," Stress The International Journal on the Biology of Stress, vol. 22, p. 15163-15170, 2002.
2. H. Selye, The Stress of Life, revised edition. McGraw-Hill Book Company, 1976.
3. K. Frank, M. J. Vera Nadales, P. Robertson, and M. Angermann, "Reliable real-time recognition of motion related human activities using mems inertial sensors," in Proceedings of the 23rd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2010), Sep. 2010, pp. 2919-2932.
4. K. V. Laerhoven and O. Cakmakci, "What shall we teach our pants?" in ISWC '00: Proceedings of the 4th IEEE International Symposium on Wearable Computers. Washington, DC, USA: IEEE Computer Society Press, 2000, pp. 77-83.
5. K. Gramann and R. Schandry, Psychophysiologie - Körperliche Indikatoren psychischen Geschehens. Beltz Verlag, 2009.
6. G. Thews, E. Mutschler, and P. Vaupel, Anatomie, Physiologie, Pathophysiologie des Menschen, 5th ed. Wissenschaftliche Verlagsgesellschaft, 1999.
7. W. Liao, W. Zhang, Z. Zhu, and Q. Ji, "A decision theoretic model for stress recognition and user assistance," in Proceedings of the 20th national conference on Artificial intelligence - Volume 2. AAAI Press, 2005, pp. 529-534.
8. J. Zhai and A. Barreto, "Stress recognition using non-invasive technology," in FLAIRS Conference, 2006, pp. 395-401.
9. A. de Santos Sierra et al., "Two stress detection schemes based on physiological signals for real-time applications," in Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP '10). IEEE Computer Society, 2010, pp. 364-367.
10. J. A. Healey, "Wearable and automotive systems for affect recognition from physiology," Ph.D. dissertation, Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, 2000.
11. C. D. Katsis, N. Katertsidis, G. Ganiatsas, and D. I. Fotiadis, "Toward emotion recognition in car-racing drivers: A biosignal processing approach," IEEE Transactions on Systems, Man and Cybernetics, vol. 38, no. 3, pp. 502-512, 2008.
12. J. Healey and R. Picard, "Detecting stress during real-world driving tasks using physiological sensors," Intelligent Transportation Systems, IEEE Transactions on, vol. 6, no. 2, pp. 156-166, Jun. 2005.
13. M. Rimini-Doering, D. Manstetten, T. Altmueller, U. Ladstaetter, and M. Mahler, "Monitoring driver drowsiness and stress in a driving simulator," in 1rst International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 2001.
14. P. Rani, J. Sims, R. Brackin, and N. Sarkar, "Online stress detection using psychophysiological signal for implicit humanrobot cooperation," Robotica, vol. 20 (6), pp. 673-686, 2002.
15. O. Villon and C. L. Lisetti, "Toward building adaptive user's psycho-physiological maps of emotions using bio-sensors," in 1rst Workshop on Emotion and Computing at KI 2006 - 29th Annual Conference on Artificial Intelligence, 2006.
16. X. Li and Q. Ji, "Active affective state detection and user assistance with dynamic bayesian networks," in Transactions on Systems, Man, and Cybernetics - Part A:Systems and Humans. IEEE, 2005, pp. 93-105.
17. R. W. Picard, E. Vyzas, and J. Healey, "Toward machine emotional intelligence: Analysis of affective physiological state," IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 23, no. 10, 200.
18. J. H. M. Tulen, P. Moleman, H. G. van Steenis, and F. Boomsma, "Characterization of stress reactions to the stroop color word test," Pharmacology Biochemistry & Behavior, vol. 32, pp. 9-15, 1989.
19. J. R. Stroop, "Studies of interference in serial verbal reactions," Journal of Experimental Psychology, vol. 18, pp. 643-661, 1935.
20. Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology, "Heart rate variability - Standards of measurement, physiological interpretation, and clinical use," European Heart Journal, vol. 17, pp. 354-381, 1996.
21. R. R. Bouckaert, "Bayesian network classifiers in weka," Working paper series, vol. 14/2004, November 2004.