Abstract
Fatigue is one of the symptoms associated with frailty among older adults, a syndrome that signals a progressive deterioration of physical and mental capacity. It is commonly measured by clinical studies, physical tests, or questionnaires, involving effort some people can’t attain. We describe a method to assess the fatigue a person experiences while walking by measuring their demand for oxygen and heart rate. The approach makes use of the accelerometer in the mobile phone, thus allowing for continuous fatigue assessment under naturalistic conditions. Results show a margin of error of less than 5 heart beats per minute and no significant difference between heart rate’s base-line fatigue classification and predicted fatigue classification; which compares favourably with current approaches. The method can be used to monitor health conditions among the frail.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Altini, M., Penders, J., Vullers, R., Amft, O.: Estimating energy expenditure using body-worn accelerometers: a comparison of methods, sensors number and positioning. IEEE J. Biomed. Health Inform. 19(1), 219–226 (2015)
Alvarado, B.E., Zunzunegui, M.V., Beland, F., Bamvita, J.M.: Life course social and health conditions linked to frailty in Latin American older men and women. J. Gerontol. A Biol. Sci. Med. Sci. 63(12), 1399–1406 (2008)
Baronti, F., Lenzi, F., Roncella, R., Saletti, R.: Distributed sensor for steering wheel rip force measurement in driver fatigue detection. In: Design, Automation Test in Europe Conference Exhibition, DATE 2009, pp. 894–897, April 2009
Barstow, T.J., Mole, P.A.: Linear and nonlinear characteristics of oxygen uptake kinetics during heavy exercise. J. Appl. Physiol. 71(6), 2099–2106 (1991)
Borg, G.: Psychophysical scaling with applications in physical work and the perception of exertion. Scand. J. Work Environ. Health 16(Suppl 1), 55–58 (1990)
Compher, C., Frankenfield, D., Keim, N., Roth-Yousey, L.: Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review. J. Am. Diet Assoc. 106(6), 881–903 (2006)
Corbin, C.: Concepts of Fitness. McGraw, New York (2011)
Dishman, E.: Inventing wellness systems for aging in place. Computer 37(5), 34–41 (2004)
Edwards, S., Snell, M., Sampson, E.: Sally Edwards’ Heart Zone Training: Exercise Smart, Stay Fit, and Live Longer. Adams Media Corporation, Holbrook (1996)
Enright, P.L.: The six-minute walk test. Respir Care 48(8), 783–785 (2003)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. SIGKDD Explor. Newsl. 11(1), 10–18 (2009)
Kaye J, Z.T.: Overview of healthcare, disease, and disability. In: Bardram, J.E., Mihailidis, A., Dadong, W. (eds.) Pervasive Computing in Healthcare, pp. 3–20 (2006)
Krogh, A., Lindhard, J.: The changes in respiration at the transition from work to rest. J. Physiol. (Lond.) 53(6), 431–439 (1920)
Lohman, T.G., Roche, A.F.: Anthropometric Standardization Reference Manual. Human Kinetics Pub, Champaign (1988)
Marcora, S.M., Staiano, W., Manning, V.: Mental fatigue impairs physical performance in humans. J. Appl. Physiol. 106(3), 857–864 (2009)
Mohd Noor, H.A., Ibrahim, R.: Fatigue detector using eyelid blinking and mouth yawning. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010, Part II. LNCS, vol. 6375, pp. 134–141. Springer, Heidelberg (2010)
Mokaya, F., Nguyen, B., Kuo, C., Jacobson, Q., Zhang, P.: [mars] a real time motion capture and muscle fatigue monitoring tool. In: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, SenSys 2012, pp. 385–386. ACM, New York (2012). http://doi.acm.org/10.1145/2426656.2426721
Organization, W.H.: Aging (2011). www.who.int
Podsiadlo, D., Richardson, S.: The timed up and go: a test of basic functional mobility for frail elderly persons. J. Am. Geriatr Soc. 39(2), 142–148 (1991)
Rodriguez, D.R., Fajardo, J.T.: Prevencion de lesiones en el deporte / Prevention of sports injuries: Claves Para Un Rendimiento Deportivo Optimo / Keys to Optimal Athletic Performance (Spanish Edition). Editorial Medica Panamericana (2014)
Scully, C., Lee, J., Meyer, J., Gorbach, A., Granquist-Fraser, D., Mendelson, Y., Chon, K.: Physiological parameter monitoring from optical recordings with a mobile phone. IEEE Trans. Biomed. Eng. 59(2), 303–306 (2012)
Singleton, W.: Deterioration of performance on a short-term perceptual-motor task. In: Symposium on Fatigue, vol. 8, pp. 163–172 (1953)
American College of Sports Medicine: ACSM’s Metabolic Calculations Handbook. LWW, Baltimore (2006)
Sumida, M., Mizumoto, T., Yasumoto, K.: Estimating heart rate variation during walking with smartphone. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013 pp. 245–254. ACM, New York (2013)
Tanaka, H., Monahan, K.D., Seals, D.R.: Age-predicted maximal heart rate revisited. J. Am. Coll. Cardiol. 37(1), 153–156 (2001)
Thomas, S., Reading, J., Shephard, R.J.: Revision of the physical activity readiness questionnaire (PAR-Q). Can J. Sport Sci. 17(4), 338–345 (1992)
Vathsangam, H., Schroeder, E., Sukhatme, G.: Hierarchical approaches to estimate energy expenditure using phone-based accelerometers. IEEE J. Biomed. Health Inform. 18(4), 1242–1252 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Hernández, N., Favela, J. (2015). Estimating the Perception of Physical Fatigue Among Older Adults Using Mobile Phones. In: Salah, A., Kröse, B., Cook, D. (eds) Human Behavior Understanding. Lecture Notes in Computer Science(), vol 9277. Springer, Cham. https://doi.org/10.1007/978-3-319-24195-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-24195-1_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24194-4
Online ISBN: 978-3-319-24195-1
eBook Packages: Computer ScienceComputer Science (R0)