Validated caloric expenditure estimation using a single body-worn sensor

ACM International Conference Proceeding Series

Volumn , Issue , 2009, Pages 225-234

  Lester, Jonathan ^a   Hartung, Carl ^a   Pina, Laura ^a   Libby, Ryan ^a   Borriello, Gaetano ^a   Duncan, Glen ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Caloric balance; Long term health monitoring; Pervasive health; Wellness

Indexed keywords

ACTIVITY INFERENCE; AUTOMATIC MONITORING; BODY-WORN SENSORS; CALORIC BALANCE; FIELD DATA; GOLD STANDARDS; HEALTH CARE COSTS; HEALTH MONITORING; LONG TERM; NATURAL FIELDS; OXYGEN CONSUMPTION; PERVASIVE HEALTH; REAL TIME; SOCIETAL CONCERNS; SYSTEM USE;

HEALTH; HEALTH CARE; MONITORING; OXYGEN; SIGNAL ANALYSIS; SPORTS MEDICINE; STRUCTURES (BUILT OBJECTS); WEIGHT CONTROL;

UBIQUITOUS COMPUTING;

EID: 70450207971     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1620545.1620579     Document Type: Conference Paper

References (20)

1. WHO Obesity and overweight. www.who.int/dietphysicalactivity/ publications/facts/obesity
2. Obesity and Overweight: Trends: U.S. Obesity Trends. http://www.cdc.gov/ nccdphp/dnpa/obesity/trend/maps/
3. Johansson, G., Wikman, A., Ahrn, A.M., Hallmans, G., and Johansson, I. Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. Public Health Nutrition, 4(4), 919-27, 2001.
4. Brunner, E., Stallone, D., Juneja, M., Bingham, S., and Marmot, M. Dietary assessment in Whitehall II: comparison of 7 d diet diary and food-frequency questionnaire and validity against biomarkers. British Journal of Nutrition, 86:3, 405-14, 2001.
5. Duncan, G.E., Sydeman, S.J., Perri, M.G., Limacher, M.C., and Martin, A.D. Can sedentary adults accurately recall the intensity of their physical activity? Preventative Medicine, 33, 18-26, 2001.
6. Denning, T., Andrew, A., Chaudhri, R., Hartung, C., Lester, J., Borriello, G., and Duncan, G. BALANCE: Towards a Usable Pervasive Wellness Application with Accurate Activity Inference. In International Workshop on Mobile Computing Systems and Applications (Feb 23, 2008). HotMobile.
7. Andre, D., Pelletier, R., Farringdon, J., Safier, S., Talbott, W., Stone, R., Vyas, N., Trimble, J., Wolf, D., Vishnubhatla, S., Boehmke, S., Stivoric, J., Teller A. The Development of the SenseWear armband, a Revolutionary Energy Assessment Device to Assess Physical Activity and Lifestyle. http://www.bodybugg.com/pdf/wp-accuracy-ee.pdf
8. Nike+.http://nikeplus.nike.com/nikeplus/
9. Activity Monitor | Nokia Research Center. http://research.nokia.com/ projects/activity-monitor
10. Sports Tracker | Nokia Research Center. http://research.nokia.com/ research/projects/SportsTracker/
11. Choi, J.E., Lee, J., Hwang, H.T., Kim, J.P, Park, J.C., and Shin, K. Estimation of Activity Energy Expenditure: Accelerometer Approach. Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the, (2005), 3830-3833.
12. Nagle, F.J., Balke, B., and Naughton, J.P. Gradational step tests for assessing work capacity. Journal of Applied Physiology 20, 4 (1965), 745-8.
13. Bassett, D.R., Giese, M.D., Nagle, F.J., Ward, A., Raab, D.M., and Balke, B. Aerobic requirements of overground versus treadmill running. Medicine and Science in Sports and Exercise 17, 4 (1985), 477-81.
14. American College of Sports Medicine. ACSM's guidelines for exercise testing and prescription. (M Whaley, senior editor, 7th ed.). Philadelphia, PA: Lippincott Williams & Wilkins; 2006.
15. Choudhury, T., Borriello, G., Consolvo, S., Haehnel, D., Harrison, B., Hemingway, B., Hightower, J., Klasnja, P., Koscher, K., LaMarca, A., Landay, J., LeGrand, L., Lester, J., Rahimi, A., Rea, A., and Wyatt, D. The Mobile Sensing Platform: An Embedded Activity Recognition System. IEEE Pervasive Computing 7, 2 (2008), 32-41.
16. Ying, H., Silex, C., Schnitzer, A., Leonhardt, S., and Schiek, M. Automatic Step Detection in the Accelerometer Signal. 4th International Workshop on Wearable and Implantable Body Sensor Networks, Springer Berlin Heidelberg, 2007.
17. S. Consolvo, D.W. McDonald, T. Toscos, M.Y. Chen, J. Froehlich, B. Harrison, P. Klasnja, A. LaMarca, L. LeGrand, R. Libby, I. Smith, & J.A. Landay. Activity Sensing in the Wild: A Field Trial of UbiFit Garden. In Proceedings of the Conference on Human Factors and Computing Systems: CHI '08, (Apr 2008), pp. 1797-806.
18. Rowlands, A.V., Thomas, P.W.M, Eston, R.G., and Topping, R. Validation of the RT3 triaxial accelerometer for the assessment of physical activity. Medicine and Science in Sports and Exercise 36, 3 (2004), 518-24.
19. Tsai, C., C., Lee, G., Raab, F., Norman, G., J., Sohn, T., Griswold, W., G., and Patrick, K. Usability and feasibility of PmEB: a mobile phone application for monitoring real time caloric balance. In Mobile Networks and Applications, 2007.
20. Phillips Respironics. Actical. http://respironics.com/, Nov 2008.