Stress recognition using wearable sensors and mobile phones

Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013

Volumn , Issue , 2013, Pages 671-676

  Sano, Akane ^a   Picard, Rosalind W ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Accelerometer; Classification; Machine learning; Mobile phone; Skin conductance; Smart phone; Stress; Wearable sensor

Indexed keywords

ACTIVITY LEVELS; BINARY CLASSIFICATION; CORRELATION ANALYSIS; MOBILE PHONE USAGES; SHORT MESSAGE SERVICES; SKIN CONDUCTANCE; STRESS RECOGNITION; WEARABLE SENSORS;

ACCELEROMETERS; ASSOCIATION REACTIONS; CELLULAR TELEPHONES; CLASSIFICATION (OF INFORMATION); CORRELATION METHODS; LEARNING SYSTEMS; MOBILE PHONES; SENSORS; STRESSES; TEXT MESSAGING;

SURVEYS;

EID: 84893329956     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACII.2013.117     Document Type: Conference Paper

References (23)

1. T. G. Vrijkotte, L. J. van Doornen, and E. J. de Geus, "Effects of work stress on ambulatory blood pressure, heart rate, and heart rate variability.," Hypertension, vol. 35, no. 4, pp. 880-6, Apr. 2000.
2. R. K. Dishman, Y. Nakamura, M. E. Garcia, R. W. Thompson, A. L. Dunn, and S. N. Blair, "Heart rate variability, trait anxiety, and perceived stress among physically fit men and women," International Journal of Psychophysiology, vol. 37, no. 2, pp. 121-133, Aug. 2000.
3. J. Hernandez; R. R. Morris; R. W. Picard, "Call center stress recognition with person-specific models," Affective Computing and Intelligent Interaction, vol. 6974, pp. 125-134, 2011.
4. C. Setz, B. Arnrich, J. Schumm, R. La Marca, G. Tröster, and U. Ehlert, "Discriminating stress from cognitive load using a wearable EDA device.," IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 14, no. 2, pp. 410-7, Mar. 2010.
5. S. S. Dickerson and M. E. Kemeny, "Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research.," Psychological bulletin, vol. 130, no. 3, pp. 355-91, May 2004.
6. M. van Eck, H. Berkhof, N. Nicolson, and J. Sulon, "The effects of perceived stress, traits, mood states, and stressful daily events on salivary cortisol.," Psychosomatic medicine, vol. 58, no. 5, pp. 447-58, 1996.
7. F. Mokhayeri, M.-R. Akbarzadeh-T, and S. Toosizadeh, "Mental stress detection using physiological signals based on soft computing techniques," in 2011 18th Iranian Conference of Biomedical Engineering (ICBME), pp. 232-237, 2011.
8. W. Boucsein, Electrodermal Activity. Springer, 1992.
9. B. Arnrich, C. Setz, R. La Marca, G. Tröster, and U. Ehlert, "What does your chair know about your stress level?," IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 14, no. 2, pp. 207-14, Mar. 2010.
10. S. Cohen, T. Kamarck, and R. Mermelstein, "A global measure of perceived stress.," Journal of health and social behavior, vol. 24, no. 4, pp. 385-96, Dec. 1983.
11. T. H. Holmes and R. H. Rahe, "The social readjustment rating scale," Journal of Psychosomatic Research, vol. 11, no. 2, pp. 213-218, Aug. 1967.
12. S. Thomée, A. Härenstam, and M. Hagberg, "Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults-a prospective cohort study.," BMC public health, vol. 11, p. 66, Jan. 2011.
13. S. Butt and J. G. Phillips, "Personality and self reported mobile phone use," Computers in Human Behavior, vol. 24, no. 2, pp. 346-360, Mar. 2008.
14. Y. Ma, B. Xu, Y. Bai, G. Sun, and R. Zhu, "Daily Mood Assessment Based on Mobile Phone Sensing," in 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, pp. 142-147, 2012.
15. S. T. Moturu, I. Khayal, N. Aharony, W. Pan, and A. S. Pentland, "Sleep, mood and sociability in a healthy population.," Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, vol. 2011, pp. 5267-70, Jan. 2011.
16. S. T. Moturu, I. Khayal, N. Aharony, W. Pan, and A. (Sandy) Pentland, "Using Social Sensing to Understand the Links between Sleep, Mood, and Sociability," in 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, pp. 208-214, 2011.
17. G. Chittaranjan, J. Blom, and D. Gatica-Perez, "Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones," in 2011 15th Annual International Symposium on Wearable Computers, pp. 29-36. 2011.
18. A. Muaremi, B. Arnrich, and G. Tröster, "Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep," BioNanoScience, vol. 3, no. 2, pp. 172-183, May 2013.
19. D. J. Buysse, C. F. Reynolds, T. H. Monk, S. R. Berman, and D. J. Kupfer, "The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research.," Psychiatry research, vol. 28, no. 2, pp. 193-213, May 1989.
20. R. R. McCrae and O. P. John, "An Introduction to the Five-Factor Model and Its Applications," Journal of Personality, vol. 60, no. 2, pp. 175-215, Jun. 1992.
21. N. Aharony, W. Pan, C. Ip, I. Khayal, and A. Pentland, "Social fMRI: Investigating and shaping social mechanisms in the real world," Pervasive and Mobile Computing, vol. 7, no. 6, pp. 643-659, Dec. 2011.
22. A. Sano and R. W. Picard, "Toward a taxonomy of autonomic sleep patterns with electrodermal activity," Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, vol. 2011, pp. 777-80, Jan. 2011.
23. R. J. Cole, D. F. Kripke, W. Gruen, D. J. Mullaney, and J. C. Gillin, "Automatic sleep/wake identification from wrist activity," Sleep, vol. 15, no. 5, pp. 461-9, Oct. 1992.