AutoSense: Unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field

SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems

Volumn , Issue , 2011, Pages 274-287

  Ertin, Emre ^a   Stohs, Nathan ^a   Kumar, Santosh ^b   Raij, Andrew ^c   Al'Absi, Mustafa ^d   Shah, Siddharth ^a   Mitra, Somnath ^b   Kwon, Taewoo ^a   Jeong, Jae Woong ^a  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MEMPHIS   (United States)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

^d UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

deployment experiences; mobile health; psychological stress monitoring; wearable physiological sensors

Indexed keywords

DEPLOYMENT EXPERIENCES; HUMAN BEHAVIORS; IN-FIELD; INTEGRATED QUALITY; LOW POWER; LOW-POWER DESIGN; MOBILE HEALTH; NATURAL ENVIRONMENTS; PHYSIOLOGICAL SENSORS; PSYCHOLOGICAL STRESS; PUBLIC HEALTH; SCIENTIFIC STUDIES; SENSOR MEASUREMENTS; SMALL FORM FACTORS; SMART PHONES; SOFTWARE FRAMEWORKS; STRESS STATE; WEARABLE SENSOR SYSTEMS; WEARABLE SENSORS; WIRELESS SENSOR;

APPROXIMATION THEORY; BEHAVIORAL RESEARCH; COMPUTER PROGRAMMING; ELECTRIC POWER SUPPLIES TO APPARATUS; HEALTH; PATIENT MONITORING; QUALITY OF SERVICE;

SENSORS;

EID: 83455176188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2070942.2070970     Document Type: Conference Paper

References (34)

1. ANT technology homepage. http://www.thisisant.com.
2. D. Alexander, C. Trengove, P. Johnston, T. Cooper, J. August, and E. Gordon. Separating Individual Skin Sonductance Responses in A Short Interstimulus-Interval Paradigm. Journal of neuroscience methods, 2005.
3. A. Alomainy, Y. Hao, and D. Davenport. Parametric study of wearable antennas with varying distances from the body and different on-body positions. In 2007 IET Seminar on ntennas and Propagation for Body-Centric Wireless Communications, pages 84-89, April 2007.
4. J. Froehlich, M. Chen, S. Consolvo, B. Harrison, and J. Landay. MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones. In ACM MobiSys, page 70, 2007.
5. E. Gamma, R. Helm, R. Johnson, and J. M. Vlissides. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional, 1994.
6. G. Giorgetti, G. Manes, J. Lewis, S. Mastroianni, and S. Gupta. The personal sensor network: A user-centric monitoring solution. In BodyNets, 2007.
7. P. Grossman, F. Wilhelm, and M. Brutsche. Accuracy of Ventilatory measurement employing ambulatory inductive plethysmography during taskS of everyday life. Biological Psychology, 2010.
8. J. Healey and R. Picard. Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on intelligent transportation systems, 6(2):156-166, 2005. (Pubitemid 40925766)
9. X. Jiang, P. Dutta, D. Culler, and I. Stoica. Micro power meter for energy monitoring of wireless sensor networks at scale. In ACM IPSN, pages 186-195, 2007.
10. J.Pan and W. Tompkins. A real-time ors detection algorithm. IEEE Trans. on Biomed Eng, (3):220-236, 1985.
11. S. Kang and et al. SeeMon: scalable and energy-efficient context monitoring framework for sensor-rich mobile environments. In ACM MobiSys, 2008.
12. S. Kreibig. Autonomic Nervous System Activity in Emotion: A Review. Biological Psychology, 2010.
13. S. Kreibig, F.Wilhelm,W. Roth, and J. Gross. Cardiovascular, electrodermal, and respiratory response patterns to fear-and sadness-inducing films. Psychophysiology, 44(5):787-806, 2007. (Pubitemid 47262799)
14. M. Lee, G. Yang, H. Lee, and S. Bang. Development stress monitoring system based on personal digital assistant. In Proc. of 26th Annual International Conference on Engineering in Medicine and Biology Society, 2004.
15. K. Lorincz, B. Chen, G. Challen, A. Chowdhury, S. Patel, P. Bonato, and M. Welsh. Mercury: A Wearable Sensor Network Platform for High-Fidelity Motion Analysis. In ACM SenSys, 2009.
16. K. Lorincz, D. Malan, T. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, G. Mainland, M.Welsh, and S. Moulton. Sensor networks for emergency response: Challenges and opportunities. IEEE pervasive Computing, pages 16-23, 2004. (Pubitemid 40010894)
17. H. Lu and et al. The Jigsaw Continuous Sensing Engine for Mobile Phone Applications. In ACM SenSys, 2010.
18. D. McFarland. Respiratory markers of conversational interaction. Journal of Speech, Language, and Hearing Research, 44(1):128-143, 2001. (Pubitemid 33649980)
19. M. Mustang, A. Raij, D. Ganesan, S. Kumar, and S. Shiffman. Exploring Micro-Incentive Strategies for Participant Compensation in High Burden Studies. In ACM CHI, 2011.
20. R. Naima and J. Canny. The berkeley tricorder: Ambulatory health monitoring. In IEEE BSN, pages 53-58, 2009.
21. N. A. Nicolson. Handbook of Physiological Research Methods in Health Psychology, chapter Measurement of Cortisol. SAGE Publications, 2007.
22. K. Plarre, A. Raij, S. Guha, and S. Kumar. Automated Detection of Sensor Detachments for Physiological Sensors in the Wild. In ACM Wireless Health, 2010.
23. K. Plarre, A. Raij, M. Hossain, A. Ali, M. Nakajima, M. al'Absi, E. Ertin, T. Kamarck, S. Kumar, M. Scott, D. Siewiorek, A. Smailagic, and L. Wittmers. Continuous Inference of Psychological Stress from Sensory Measurements Collected in the Natural Environment. In ACM/IEEE IPSN, 2011.
24. M. M. Rahman, A. A. Ali, K. Plarre, A. Raij, M. alAbsi, E. Ertin, and S. Kumar. mConverse: Inferring Conversation Episodes from Respiratory Measurements Collected in the Field. In ACM Wireless Health, 2011.
25. A. Raij, A. Ghosh, S. Kumar, and M. Srivastava. Privacy Risks Emerging from the Adoption of Inoccuous Wearable Sensors in the Mobile Environment. In ACM CHI, 2011.
26. P. Rainville, A. Bechara, N. Naqvi, and A. Damasio. Basic emotions are associated with distinct patterns of cardiorespiratory activity. International journal of psychophysiology, 61(1):5-18, 2006. (Pubitemid 44209107)
27. R. Sapolsky. Why zebras don't get ulcers. Owl Books, 2004.
28. V. Shnayder, M. Hempstead, B. Chen, G. Allen, and M. Welsh. Simulating the power consumption of large-scale sensor network applications. In ACM SenSys, pages 188-200, 2004.
29. K. Srinivasan, P. Dutta, A. Tavakoli, and P. Levis. An empirical study of low-power wireless. ACM Transactions on Sensor Networks (TOSN), 6(2):1-49, 2010.
30. J. F. Thayer, A. L. Hansen, and B. H. Johnsen. Handbook of Physiological Research Methods in Health Psychology, chapter Noninvasive Assessment of Autonomic Influences on the Heart. SAGE Publications, 2007.
31. Q. Wang, M. Hempstead, and W. Yang. A realistic power consumption model for wireless sensor network devices. In IEEE SECON, volume 1, pages 286-295, 2006.
32. Y.Wang, J. Lin, M. Annavaram, Q. Jacobson, J. Hong, B. Krishnamachari, and N. Sadeh. A framework of energy efficient mobile sensing for automatic user state recognition. In ACM MobiSys, 2009.
33. F. Wilhelm and P. Grossman. Emotions beyond the laboratory: Theoretical fundaments, study design, and analytic strategies for advanced ambulatory assessment. Biological Psychology, 2010.
34. G. Yang. Body sensor networks. Springer-Verlag New York Inc, 2006.