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Individualized Exercise and Diet Recommendations: An Expert System for Monitoring Physical Activity and Lifestyle Interventions in Obesity
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 Title & Authors
Individualized Exercise and Diet Recommendations: An Expert System for Monitoring Physical Activity and Lifestyle Interventions in Obesity
Nam, Yunyoung; Kim, Yeesock;
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 Abstract
This paper proposes an exercise recommendation system for treating obesity that provides systematic recommendations for exercise and diet. Five body indices are considered as indicators for recommend exercise and diet. The system also informs users of prohibited foods using health data including blood pressure, blood sugar, and total cholesterol. To maximize the utility of the system, it displays recommendations for both indoor and outdoor activities. The system is equipped with multimode sensors, including a three-axis accelerometer, a laser, a pressure sensor, and a wrist-mounted sensor. To demonstrate the effectiveness of the system, field tests are carried out with three participants over 20 days, which show that the proposed system is effective in treating obesity.
 Keywords
Health care;Service recommendation;Multimodal sensors;Obesity;Multiple sensors;
 Language
English
 Cited by
 References
1.
World Health Organisation, "Obesity: preventing and managing the global epidemic," Report of a WHO consultation. Tech. rep., WHO, Geneva (2000)

2.
A.A. Hedley, et al. “Prevalence of overweight and obesity among US children, adolescents, and adults, 1999-2002,” JAMA: the journal of the American Medical Association, vol. 291, no. 23, pp. 2847-2850, 2004. crossref(new window)

3.
K.F. Ferraro, et al. “The life course of severe obesity: does childhood overweight matter?” The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, vol. 58, no. 2, pp. S110-S119, 2003. crossref(new window)

4.
Office of the Surgeon General. "The Surgeon General's call to action to prevent and decrease overweight and obesity," Public Health Service, 2001.

5.
H.P. Booth, et al. “Epidemiology of clinical body mass index recording in an obese population in primary care: a cohort study,” Journal of Public Health, vol. 35, pp. 67-74, 2013. crossref(new window)

6.
M.E. Waring, et al. “Documentation and management of overweight and obesity in primary care,” The Journal of the American Board of Family Medicine, vol. 22. No.5, pp. 544-552, 2009. crossref(new window)

7.
A. Must, et al. “The disease burden associated with overweight and obesity,” Jama, vol. 282, no. 16, pp. 1523-1529, 1999. crossref(new window)

8.
L. Cadmus-Bertram, et al. “Web-based self-monitoring for weight loss among overweight/obese women at increased risk for breast cancer: the HELP pilot study,” Psycho-Oncology, vol. 22, no. 8, pp. 1821-1828, 2013. crossref(new window)

9.
G. Gutiérrez, et al. “Strengthening preventive care programs: a permanent challenge for healthcare systems; lessons from PREVENIMSS México,” BMC public health vol. 10, no. 1, pp. 417, 2010. crossref(new window)

10.
R. de Oliveira, et al. “TripleBeat: enhancing exercise performance with persuasion,” in Proceedings of the 10th international conference on Human computer interaction with mobile devices and services, pp. 255-264, 2008.

11.
T. Toscos, et al. “Chick clique: persuasive technology to motivate teenage girls to exercise,” in CHI’06 extended abstracts on Human factors in computing systems, pp. 1873-1878, 2006.

12.
F. Buttussi, L. Chittaro, “A context-aware and useradaptive wearable system for fitness training,” Artificial Intelligence in Medicine, vol. 42, no. 2, pp. 153-163, 2008. crossref(new window)

13.
K.h. Chang, et al. “The diet-aware dining table: Observing dietary behaviors over a tabletop surface,” in Pervasive computing, pp. 366-382, 2006.

14.
J. Mankoff, et al. “Using low-cost sensing to support nutritional awareness,” in UbiComp 2002: Ubiquitous Computing, pp. 371-378, 2002.

15.
J.M. Silva, et al. “Promoting a healthy lifestyle through a virtual specialist solution,” in CHI’06 Extended Abstracts on Human Factors in Computing Systems, pp. 1867-1872. 2006

16.
Andrea L. Dunn, et al. “Lifestyle physical activity interventions: history, short-and long-term effects, and recommendations,” American journal of preventive medicine, vol. 15, no.4, pp. 398-412, 1998. crossref(new window)

17.
Andrea L. Dunn, et al. “Comparison of lifestyle and structured interventions to increase physical activity and cardiorespiratory fitness: a randomized trial,” Jama, vol. 281, no.4, pp. 327-334, 1999. crossref(new window)

18.
A. G. Bonomi, and K. R. Westerterp, “Advances in physical activity monitoring and lifestyle interventions in obesity: a review,” International Journal of Obesity, vol. 36, no. 2, pp. 167-177, 2012. crossref(new window)

19.
Eugene Oteng-Ntim, et al. “Lifestyle interventions for overweight and obese pregnant women to improve pregnancy outcome: systematic review and meta-analysis,” BMC medicine, vol. 10, no. 1, pp. 47, 2012. crossref(new window)

20.
Anne R. Lindsay, et al. “Field Assessments for obesity prevention in children and adults: physical activity, fitness, and body composition,” Journal of nutrition education and behavior, vol. 46, no.1, pp. 43-53, 2014. crossref(new window)

21.
Wener Hoeger, and Sharon Hoeger, “Lifetime physical fitness and wellness: A personalized program,” Cengage Learning, 2014.

22.
Sudha M. Srinivasan, et al. “Current perspectives on physical activity and exercise recommendations for children and adolescents with autism spectrum disorders,” Physical therapy, 2014.

23.
Alicia S. Kunin-Batson, et al. “Household Factors, Family Behavior Patterns, and Adherence to Dietary and Physical Activity Guidelines Among Children at Risk for Obesity,” Journal of nutrition education and behavior, vol. 47, no. 3, pp. 206-215, 2015. crossref(new window)

24.
N. Travier, et al. “Effect of a diet and physical activity intervention on body weight and nutritional patterns in overweight and obese breast cancer survivors. Medical Oncology,” vol. 31, no.1, pp. 1-11, 2014.

25.
Christopher M. Wharton, et al. “Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial,” Journal of nutrition education and behavior, vol. 46, no. 5, pp. 440-444, 2014. crossref(new window)

26.
Somdat Mahabir, et al. “Comparison of energy expenditure estimates from 4 physical activity questionnaires with doubly labeled water estimates in postmenopausal women,” The American journal of clinical nutrition, vol. 84, no.1, pp. 230-236, 2006.

27.
G.A. Chase, Average met values for activities with fitness components (2015), http://community.plu.edu/chasega/main.htm.

28.
Medic4all, Medic4all's Wrist Clinic (2015), http://en.medic4all.it/products-and-tecnology/products.