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Activity-Aware Mental Stress Detection Using Physiological Sensors

  • Conference paper
Mobile Computing, Applications, and Services (MobiCASE 2010)

Abstract

Continuous stress monitoring may help users better understand their stress patterns and provide physicians with more reliable data for interventions. Previously, studies on mental stress detection were limited to a laboratory environment where participants generally rested in a sedentary position. However, it is impractical to exclude the effects of physical activity while developing a pervasive stress monitoring application for everyday use. The physiological responses caused by mental stress can be masked by variations due to physical activity.

We present an activity-aware mental stress detection scheme. Electrocardiogram (ECG), galvanic skin response (GSR), and accelerometer data were gathered from 20 participants across three activities: sitting, standing, and walking. For each activity, we gathered baseline physiological measurements and measurements while users were subjected to mental stressors. The activity information derived from the accelerometer enabled us to achieve 92.4% accuracy of mental stress classification for 10-fold cross validation and 80.9% accuracy for between-subjects classification.

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References

  1. Bernardi, L., et al.: Physical activity influences heart rate variability and very-low-frequency components in holster electrocardiograms. Cardiovascular Research 32(2), 234 (1996)

    Article  Google Scholar 

  2. Boucsein, H.: Electrodermal Activity. Plenum, New York (1992)

    Book  Google Scholar 

  3. Breslau, N., Kessler, R., Peterson, E.L.: Post-traumatic stress disorder assessment with a structured interview: reliability and concordance with a standardized clinical interview. International Journal of Methods in Psychiatric Research 7(3), 121–127 (1998)

    Article  Google Scholar 

  4. Burges, C.J.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2, 121–167 (1998)

    Article  Google Scholar 

  5. Cannon, W.: Bodily Change in Pain, Hunger, Fear and Rage: An Account of Recent Research into the Function of Emotional Excitement. Appleton, New York (1915)

    Google Scholar 

  6. Darrow, C.: The rationale for treating the change in galvanic skin response as a change in conductance. Psychophysiology 1, 31–38 (1964)

    Article  Google Scholar 

  7. Dedovic, K., Renwick, R., Mahani, N.K., Engert, V., Lupien, S.J., Pruessner, J.C.: The Montreal imaging stress task: Using functional imaging to investigate the effects of perceiving and processing psychosocial stress in the human brain. Journal Psychiatry Neuroscience 30, 319–325 (2005)

    Google Scholar 

  8. Dubin, D.: Rapid Interpretation of EKG’s. Cover Publishing (2000)

    Google Scholar 

  9. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations 11 (2009)

    Google Scholar 

  10. Healey, J.A., Picard, R.W.: Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on Intelligent Transportation Systems 6(2), 156–166 (2005)

    Article  Google Scholar 

  11. Herbert, J.: Fortnightly review: Stress, the brain, and mental illness. British Medical Journal 315, 530–535 (1997)

    Article  Google Scholar 

  12. Holmes, S., Krantz, D.S., Rogers, H., Gottdiener, J., Contrad, R.J.: Mental stress and coronary artery disease: A multidisciplinary guide. Progress in Cardiovascular Disease 49, 106–122 (2006)

    Article  Google Scholar 

  13. Kusserow, M., Amft, O., Troster, G.: Psychophysiological body activation characteristics in daily routines. In: IEEE International Symposium on Wearable Computers, pp. 155–156 (2009)

    Google Scholar 

  14. Lim, T.-S., Loh, W.-Y., Cohen, W.: A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning 39 (2000)

    Google Scholar 

  15. Lundberg, U., et al.: Psychophysiological stress and EMG activity of the trapezius muscle. International Journal of Behavioral Medicine 1(4), 354–370 (1994)

    Article  Google Scholar 

  16. Monnikes, H., Tebbe, J., Hildebrandt, M., et al.: Role of stress in functional gastrointestinal disorders. Digestive Diseases 19, 201–211 (2001)

    Article  Google Scholar 

  17. T.F. of the European Society of Cardiology, The North American Society of Pacing, and Electrophysiology. Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. European Heart Journal 17(2), 1043–1065 (1996)

    Google Scholar 

  18. Olguin, D., Pentland, Y.: Human activity recognition: Accuracy across common locations for wearable sensors. In: Proc. 10th International Symposium Wearable Computer, pp. 11–13 (2006)

    Google Scholar 

  19. Pan, J., Tompkins, W.J.: A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering BME-32(3), 230–236 (1985)

    Google Scholar 

  20. Picard, R.W., Vyzas, E., Healey, J.: Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(10), 1175–1191 (2001)

    Article  Google Scholar 

  21. Pichon, A., Bisschop, C., Roulaud, M., et al.: Spectral analysis of heart rate variability during exercise in trained subjects. Medicine and Science in Sports and Exercise 36, 1702–1708 (2004)

    Article  Google Scholar 

  22. Pickering, T.: Mental stress as a causal factor in the development of hypertension and cardiovascular disease. Current Hypertension Report 3(3), 249–254 (2001)

    Article  Google Scholar 

  23. Salahuddin, L., Cho, J., Jeong, M.G., Kim, D.: Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings. In: 29th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, EMBS 2007, pp. 4656–4659 (August 2007)

    Google Scholar 

  24. Schumm, J., Bächlin, M., Setz, C., Arnrich, B., Roggen, D., Tröster, G.: Effect of movements on the electrodermal response after a startle event. In: Proceedings of 2nd International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health (2008)

    Google Scholar 

  25. Setz, C., Arnrich, B., Schumm, J., La Marca, R., Troster, G., Ehlert, U.: Discriminating stress from cognitive load using a wearable EDA device. IEEE Transactions on Information Technology in Biomedicine 14(2), 410–417 (2010)

    Article  Google Scholar 

  26. Sloten, J.V., Verdonck, P., Nyssen, M., Haueisen, J.: Influence of mental stress on heart rate and heart rate variability. In: International Federation for Medical and Biological Engineering Proceedings, pp. 1366–1369 (2008)

    Google Scholar 

  27. Sriram, J.C., Shin, M., Choudhury, T., Kotz, D.: Activity-aware ECG-based patient authentication for remote health monitoring. In: ICMI-MLMI 2009: Proceedings of the 2009 International Conference on Multimodal Interfaces, pp. 297–304. ACM, New York (2009)

    Chapter  Google Scholar 

  28. Stroop, J.: Studies of interference in serial verbal reactions. Journal of Experimental Psychology 18, 643–661 (1935)

    Article  Google Scholar 

  29. Tarvainen, M., Koistinen, A., Valkonen-Korhonen, M., Partanen, J., Karjalainen, P.: Analysis of galvanic skin responses with principal components and clustering techniques. IEEE Transactions on Biomedical Engineering 48(10), 1071–1079 (2001)

    Article  Google Scholar 

  30. Van Steenis, H., Tulen, J.: The effects of physical activities on cardiovascular variability in ambulatory situations. In: Proceedings of the 19th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, vol. 1, pp. 105–108 (November 1997)

    Google Scholar 

  31. Vrijkotte, T., et al.: Effects of work stress on ambulatory blood pressure, heart rate, and heart rate variability. Hypertension 35(4), 880–886 (2000)

    Article  Google Scholar 

  32. Wilhelm, F.H., Pfaltz, M.C., Grossman, P., Roth, W.T.: Distinguishing emotional from physical activation in ambulatory psychophysiological monitoring. Biomedical Sciences Instrumentation 42, 458–463 (2006)

    Google Scholar 

  33. Zhai, J., Barreto, A.: Stress detection in computer users based on digital signal processing of noninvasive physiological variables. In: 28th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, EMBS 2006, pp. 1355–1358 (September 2006)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Carnegie Mellon University, USA

    Feng-Tso Sun, Cynthia Kuo, Heng-Tze Cheng, Senaka Buthpitiya, Patricia Collins & Martin Griss

  2. Nokia Research Center, USA

    Cynthia Kuo

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  1. Feng-Tso Sun
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  2. Cynthia Kuo
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  3. Heng-Tze Cheng
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  4. Senaka Buthpitiya
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  5. Patricia Collins
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  6. Martin Griss
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Editor information

Editors and Affiliations

  1. Carnegie Mellon University, Silicaon Valley, Bldg. 23, 94035, Moffett Field, CA, USA

    Martin Gris

  2. Nokia Research Center, 955 Page Mill Rd, 94304, Palo Alto, CA, USA

    Guang Yang

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Sun, FT., Kuo, C., Cheng, HT., Buthpitiya, S., Collins, P., Griss, M. (2012). Activity-Aware Mental Stress Detection Using Physiological Sensors. In: Gris, M., Yang, G. (eds) Mobile Computing, Applications, and Services. MobiCASE 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29336-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-29336-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29335-1

  • Online ISBN: 978-3-642-29336-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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