GaitTrack: Health monitoring of body motion from spatio-temporal parameters of simple smart phones

2013 ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, ACM-BCB 2013

Volumn , Issue , 2013, Pages 897-906

  Cheng, Qian ^a   Juen, Joshua ^b   Li, Yanen ^a   Prieto Centurion, Valentin ^c   Krishnan, Jerry A ^c   Schatz, Bruce R ^d  

^a University of Illinois at Urbana Champaign   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^d UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Chronic disease assessment; Free living health monitoring; Gait speed; Smart phone application

Indexed keywords

CHRONIC DISEASE; CHRONIC OBSTRUCTIVE PULMONARY DISEASE; GAIT SPEED; HEALTH MONITORING; HEALTH MONITORING SYSTEM; SMART-PHONE APPLICATIONS; SUPPORT VECTOR REGRESSION MODELS; TIME AND FREQUENCY DOMAINS;

ESTIMATION; HEALTH; MEAN SQUARE ERROR; PATIENT MONITORING; PULMONARY DISEASES; REGRESSION ANALYSIS; SENSORS; SMARTPHONES; SPEED; TELEPHONE SETS; TELEPHONE SYSTEMS; WALKING AIDS;

BIOINFORMATICS;

EID: 84888177684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2506583.2512362     Document Type: Conference Paper

References (38)

1. B. R. Schatz and R. B. Berlin, Healthcare Infrastructure: Health Systems for Individuals and Populations. Series in Health Informatics. Springer London Limited, 2011.
2. S. Fritz and M. Lusardi, "White paper: Walking speed: The sixth vital sign., " Journal of Geriatric Physical Therapy, vol. 32, no. 2, p. 2, 2009.
3. S. Studenski, "Bradypedia: is gait speed ready for clinical use?, " The Journal of Nutrition, Health & Aging, vol. 13, no. 10, pp. 878-880, 2009.
4. S. Studenski, S. Perera, K. Patel, C. Rosano, K. Faulkner, M. Inzitari, J. Brach, et al., "Gait speed and survival in older adults, " J American Medical Association JAMA, vol. 305, pp. 50-58, 2010.
5. J. Annegarn, M. A. Spruit, H. H. Savelberg, P. J. Willems, C. v. d. Bool, A. M. Schols, E. F. Wouters, and K. Meijer, "Differences in walking pattern during 6-min walk test between patients with copd and healthy subjects, " PLOS ONE, vol. 7, no. 5, p. e37329, 2012.
6. M. Jehn, A. Schmidt-Trucksäess, T. Schuster, H. Hanssen, M. Weis, M. Halle, and F. Koehler, "Accelerometer-based quantification of 6-minute walk test performance in patients with chronic heart failure: Applicability in telemedicine, " Journal of Cardiac Failure, vol. 15, no. 4, pp. 334-340, 2009.
7. C. Casanova, C. Cote, J. M. Marin, V. Pinto-Plata, J. P. Torres, A. Aguirre-Jaíme, C. Vassaux, and B. R. Celli, "Distance and oxygen desaturation during the 6-min walk test as predictors of long-term mortality in patients with copd, " CHEST Journal, vol. 134, no. 4, pp. 746-752, 2008.
8. American Thoracic Society, "ATS statement: Guidelines for the six-minute walk test, " American Journal of Respiratory and Critical Care medicine, vol. 166, no. 9, pp. 111-117, 2002.
9. M. Whittle, Gait Analysis: An Introduction. Butterworth Heinemann Elsevier, 4th ed., 2007.
10. T. Moeslund, A. Hilton, and V. Krüger, "A survey of advances in vision-based human motion capture and analysis, " Computer Vision and Image Understanding, vol. 104, no. 2, pp. 90-126, 2006.
11. R. LeMoyne, C. Coroian, T. Mastroianni, and W. Grundfest, "Accelerometers for quantification of gait and movement disorders: A perspective review, " Journal of Mechanics in Medicine and Biology, vol. 8, no. 02, pp. 137-152, 2008.
12. M. L. Moy, N. A.Weston, E. J.Wilson, M. L. Hess, and C. R. Richardson, "A pilot study of an internet walking program and pedometer in copd, " Respiratory Medicine, 2012.
13. F. Pitta, T. Troosters, V. Probst, M. Spruit, M. Decramer, and R. Gosselink, "Quantifying physical activity in daily life with questionnaires and motion sensors in copd, " European Respi- ratory Journal, vol. 27, no. 5, pp. 1040-1055, 2006.
14. W. Zijlstra and A. L. Hof, "Assessment of spatio-temporal gait parameters from trunk accelerations during human walking, " Gait & Posture, vol. 18, no. 2, pp. 1-10, 2003.
15. W. Zijlstra, "Assessment of spatio-temporal parameters during unconstrained walking, " European Journal of Applied Physiology, vol. 92, no. 1-2, pp. 39-44, 2004.
16. M. Yang, H. Zheng, H. Wang, S. McClean, and N. Harris, "Assessing the utility of smart mobile phones in gait pattern analysis, " Health and Technology, vol. 2, no. 1, pp. 81-88, 2012.
17. R. Moe-Nilssen and J. L. Helbostad, "Estimation of gait cycle characteristics by trunk accelerometry, " Journal of Biome- chanics, vol. 37, no. 1, pp. 121-126, 2004.
18. S. Nishiguchi, M. Yamada, K. Nagai, S. Mori, Y. Kajiwara, T. Sonoda, K. Yoshimura, H. Yoshitomi, H. Ito, K. Okamoto, et al., "Reliability and validity of gait analysis by androidbased smartphone, " Telemedicine and e-Health, vol. 18, no. 4, pp. 292-296, 2012.
19. Y. Jiang, X. Pan, K. Li, Q. Lv, R. P. Dick, M. Hannigan, and L. Shang, "Ariel: Automatic wi-fi based room fingerprinting for indoor localization, " in Proceedings of the 2012 ACM Conference on Ubiquitous Computing, pp. 441-450, ACM, 2012.
20. H. Vathsangam, A. Emken, D. Spruijt-Metz, and G. S. Sukhatme, "Toward free-living walking speed estimation using gaussian process-based regression with on-body accelerometers and gyroscopes, " in Pervasive Computing Tech- nologies for Healthcare (PervasiveHealth), pp. 1-8, IEEE, 2010.
21. E. Tapia, S. Intille, and K. Larson, Activity recognition in the home using simple and ubiquitous sensors. Springer, 2004.
22. J. Yang, J. Wang, and Y. Chen, "Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers, " Pattern Recognition Letters, vol. 29, no. 16, pp. 2213-2220, 2008.
23. J. Yang, "Toward physical activity diary: motion recognition using simple acceleration features with mobile phones, " in Interactive Multimedia for Consumer Electronics, pp. 1-10, ACM, 2009.
24. L. Sun, D. Zhang, B. Li, B. Guo, and S. Li, "Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations, " in Ubiquitous Intelligence and Computing, pp. 548-562, Springer, 2010.
25. J. R. Kwapisz, G. M.Weiss, and S. A. Moore, "Activity recognition using cell phone accelerometers, " ACM SIGKDD Ex- plorations Newsletter, vol. 12, no. 2, pp. 74-82, 2011.
26. H. Lu, J. Yang, Z. Liu, N. D. Lane, T. Choudhury, and A. T. Campbell, "The Jigsaw continuous sensing engine for mobile phone applications, " in Embedded Networked Sensor Sys- Tems, pp. 71-84, ACM, 2010.
27. J. Park, A. Patel, D. Curtis, S. Teller, and J. Ledlie, "Online pose classification and walking speed estimation using handheld devices, " in Ubiquitous Computing, pp. 113-122, ACM, 2012.
28. S. Zhong, L.Wang, A. M. Bernardos, and M. Song, "An accurate and adaptive pedometer integrated in mobile health application, " in Wireless Sensor Network, (IET-WSN), pp. 78-83, IET, 2010.
29. E. Holbrook, T. Barreira, M. Kang, et al., "Validity and reliability of Omron pedometers for prescribed and self-paced walking, " Medicine+ Science in Sports+ Exercise, vol. 41, no. 3, p. 670, 2009.
30. L. J. Turner, L. Houchen, J. Williams, and S. J. Singh, "Reliability of pedometers to measure step counts in patients with chronic respiratory disease, " Journal of Cardiopulmonary Re- habilitation and Prevention, vol. 32, no. 5, pp. 284-291, 2012.
31. S. Chen, C. L. Cunningham, J. Lach, and B. C. Bennett, "Extracting spatio-temporal information from inertial body sensor networks for gait speed estimation, " in Wearable and Im- plantable Body Sensor Networks, pp. 71-76, IEEE, 2011.
32. S. Miyazaki, "Long-term unrestrained measurement of stride length and walking velocity utilizing a piezoelectric gyroscope, " IEEE Transactions on Biomedical Engineering, vol. 44, no. 8, pp. 753-759, 1997.
33. A. Mannini and A. M. Sabatini, "On-line classification of human activity and estimation of walk-run speed from acceleration data using support vector machines, " in Engineering in Medicine and Biology Society (EMBC), pp. 3302-3305, IEEE, 2011.
34. M. Yamada, T. Aoyama, S. Mori, S. Nishiguchi, K. Okamoto, T. Ito, S. Muto, T. Ishihara, H. Yoshitomi, and H. Ito, "Objective assessment of abnormal gait in patients with rheumatoid arthritis using a smartphone, " Rheumatology international, vol. 32, no. 12, pp. 3869-3874, 2012.
35. C. Chang and C. Lin, "Libsvm: A library for support vector machines, " ACM Transactions on Intelligent Systems and Technology (TIST), vol. 2, no. 3, p. 27, 2011.
36. V. N. Vapnik, "An overview of statistical learning theory, " IEEE Transactions on Neural Networks, vol. 10, no. 5, pp. 988-999, 1999.
37. S. S. Ng, P. C. Yu, F. P. To, J. S. Chung, and T. H. Cheung, "Effect of walkway length and turning direction on the distance covered in the 6-minute walk test among adults over 50 years of age: A cross-sectional study, " Physiotherapy, vol. 99, no. 1, pp. 63 - 70, 2013.
38. I. Pilowsky, "A general classification of abnormal illness behaviours, " British Journal of Medical Psychology, vol. 51, no. 2, pp. 131-137, 1978.