SoM: A smart sensor for human activity monitoring and assisted healthy ageing

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 12 PART2, 2012, Pages 3177-3184

  Naranjo Hernández, David ^a,b   Roa, Laura M ^a,b   Reina Tosina, Javier ^b   Estudillo Valderrama, Miguel Ángel ^a,b  

^a BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^b UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Active ageing; independent living; metabolic expenditure; physical activity monitoring; smart sensor

Indexed keywords

ACCELEROMETER SENSOR; ACTIVE AGEING; ACTIVITY MONITORING; DAILY ACTIVITY; GRAVITATIONAL ACCELERATIONS; HARDWARE AND SOFTWARE; HOLISTIC MANNER; HUMAN ACTIVITIES; INDEPENDENT LIVING; METABOLIC EXPENDITURE; MOTION COMPONENTS; PHYSICAL ACTIVITY; PHYSICAL ACTIVITY MONITORING; SIMPLE METHOD;

METABOLISM;

SMART SENSORS;

ACCELEROMETER SMART SENSOR; ADULT; AGED; AGING; ANTHROPOMETRIC PARAMETERS; ARTICLE; BODY MOVEMENT; CLIMBING; COMPUTER; COMPUTER PROGRAM; CONTROLLED STUDY; DAILY LIFE ACTIVITY; EXPERIMENTAL STUDY; FEASIBILITY STUDY; FEMALE; GRAVITY; HUMAN; HUMAN EXPERIMENT; LIFESTYLE; LOCOMOTION; MALE; METABOLIC RATE; MONITORING; PHYSICAL ACTIVITY; PSYCHOMOTOR DISORDER; SENSOR; ACCELEROMETER; ALGORITHM; ENERGY EXPENDITURE; HUMAN ACTIVITIES; NORMAL HUMAN;

ACCELEROMETRY; ACTIVITIES OF DAILY LIVING; ADULT; AGE FACTORS; ALGORITHMS; EQUIPMENT DESIGN; HUMANS; MONITORING, AMBULATORY; MOTOR ACTIVITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TELEMETRY;

EID: 84868144308     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2206384     Document Type: Article

References (32)

1. M. Ferreira, S. Matsudo, M. Ribeiro, and L. Ramos, "Health-related factors correlate with behavior trends in physical activity level in old age: Longitudinal results from a population in Sao Paulo, Brazil," BMC Public Health, vol. 10, 2010.
2. N. Zouba, F. Bremond, and M. Thonnat, "An activity monitoring system for real elderly at home: Validation study," in Proc. IEEE Int. Conf. Adv. Video Signal Based Surveillance, 2010, pp. 278-285.
3. (2012). World health organization web site, global health risks: Mortality and burden of disease attributable to selected major risks. [Online]. Available: http://www.who.int/healthinfo/global-burden-disease/Global- HealthRisks-report-full.pdf
4. E. Groessl, R. Kaplan, W. Rejeski, J. Katula, A. King, G. Frierson, N. Glynn, F.-C. Hsu, M. Walkup, and M. Pahor, "Health-related quality of life in older adults at risk for disability," Amer. J. Preventive Med., vol. 33, no. 3, pp. 214-218, 2007. (Pubitemid 47362557)
5. M. Hirvensalo, T. Rantanen, and E. Heikkinen, "Mobility difficulties and physical activity as predictors of mortality and loss of independence in the community-living older population," J. Amer. Geriatrics Soc., vol. 48, no. 5, pp. 493-498, 2000. (Pubitemid 30263100)
6. J. Stessman, R. Hammerman-Rozenberg, A. Cohen, E. Ein-Mor, and J. Jacobs, "Physical activity, function, and longevity among the very old," Archives Internal Med., vol. 169, no. 16, pp. 1476-1483, 2009.
7. S. Lord, S. Chastin, L.McInnes, L. Little, P. Briggs, and L. Rochester, "Exploring patterns of daily physical and sedentary behaviour in communitydwelling older adults," Age Ageing, vol. 40, no. 2, pp. 205-210, 2011.
8. J. H. Lim, A. Zhan, J. Ko, A. Terzis, S. Szanton, and L. Gitlin, "A closedloop approach for improving the wellness of low-income elders at home using game consoles," IEEE Commun. Mag., vol. 50, no. 1, pp. 44-51, Jan. 2012.
9. B. Silva, I. Lopes, J. Rodrigues, and P. Ray, "Sapofitness: A mobile health application for dietary evaluation," in Proc. 13th IEEE Int. Conf. e-Health Netw. Appl. Serv., Jun. 2011, pp. 375-380.
10. L. Yan, L. Yue-e, and H. Jian, "Gait recognition based on MEMS accelerometer," in Proc. 10th IEEE Int. Conf. Signal Process., Oct. 2010, pp. 1679-1681.
11. T. Shany, S. J. Redmond, M. R. Narayanan, and N. H. Lovell, "Sensorsbased wearable systems for monitoring of human movement and falls," IEEE Sens. J., vol. 12, no. 3, pp. 658-670, Mar. 2012.
12. (2012). Actigraph company web site. [Online]. Available: http://www. theactigraph.com
13. (2012). Aipermon company web site. [Online]. Available: http://www. aipermon.com
14. I. Gyllensten and A. Bonomi, "Identifying types of physical activity with a single accelerometer: Evaluating laboratory-trained algorithms in daily life," IEEE Trans. Biomed. Eng., vol. 58, no. 9, pp. 2656-2663, Sep. 2011.
15. N. Twomey, S. Faul, and W. Marnane, "Comparison of accelerometerbased energy expenditure estimation algorithms," in Proc. 4th Int. Conf. Pervasive Comput. Technol. Healthcare, Mar. 2010, pp. 1-8.
16. H. Vathsangam, A. Emken, E. Schroeder, D. Spruijt-Metz, and G. Sukhatme, "Determining energy expenditure from treadmill walking using hip-worn inertial sensors: An experimental study," IEEE Trans. Biomed. Eng., vol. 58, no. 10, pp. 2804-2815, Oct. 2011.
17. V. Van Hees, M. Pias, S. Taherian, U. Ekelund, and S. Brage, "A method to compare new and traditional accelerometry data in physical activity monitoring," in IEEE Int. Symp. A World Wireless, Mobile Multimedia Netw., 2010.
18. P. Gerdhem, M. Dencker, K. Ringsberg, and K. kesson, " Accelerometermeasured daily physical activity among octogenerians: Results and associations to other indices of physical performance and bone density," Eur. J. Appl. Physiol., vol. 102, no. 2, pp. 173-180, 2008. (Pubitemid 350142382)
19. A. Dinh, D. Teng, L. Chen, Y. Shi, C. McCrosky, J. Basran, and V. Del Bello-Hass, "Implementation of a physical activity monitoring system for the elderly people with built-in vital sign and fall detection," in Proc. 6th Int. Conf. Inf. Technol.: New Generations, 2009, pp. 1226-1231.
20. M. Makikawa, S. Asajima, K. Shibuya, R. Tokue, and H. Shinohara, "Portable physical activity monitoring system for the evaluation of activity of the aged in daily life," in Proc. Annu. Int. Conf. IEEE Eng. Med. Biol., 2002, vol. 3, pp. 1908-1909.
21. G. Plasqui and K. Westerterp, "Physical activity assessment with accelerometers: An evaluation against doubly labeled water," Obesity, vol. 15, no. 10, pp. 2371-2379, 2007. (Pubitemid 350034029)
22. J. Copeland and D. Esliger, "Accelerometer assessment of physical activity in active, healthy older adults," J. Aging Phys. Activity, vol. 17, no. 1, pp. 17-30, 2009.
23. H. Jee, L. Jeongwhan, T. Hyun, P. Jong, C. Jae, and S. Kunsoo, "Estimation of activity energy expenditure: Accelerometer approach," in Proc. Annu. Int. Conf. IEEE Eng. Med. Biol., 2005, vol. 7, pp. 3830-3833. (Pubitemid 46229769)
24. B. Najafi, K. Aminian, A. Paraschiv-Ionescu, F. Loew, C. Bula, and P. Robert, "Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly," IEEE Trans. Biomed. Eng., vol. 50, no. 6, pp. 711-723, Jun. 2003. (Pubitemid 36723605)
25. C.-C. Yang and Y.-L. Hsu, "Algorithm design for real-time physical activity identificationwith accelerometrymeasurement," in Proc. Ind. Electron. Conf., 2007, pp. 2996-3000.
26. M. ElSayed, A. Alsebai, A. Salaheldin, N. El Gayar, and M. ElHelw, "Ambient and wearable sensing for gait classification in pervasive healthcare environments," in Proc. 12th IEEE Int. Conf. e-Health Netw. Appl. Services, Jul. 2010, pp. 240-245.
27. A. Sabatini, "Estimating three-dimensional orientation of human body parts by inertial/magnetic sensing," Sensors, vol. 11, no. 2, pp. 1489-1525, 2011.
28. N. Wang, S. Redmond, E. Ambikairajah, B. Celler, and N. Lovell, "Can triaxial accelerometry accurately recognize inclined walking terrains?" IEEE Trans. Biomed. Eng., vol. 57, no. 10, pp. 2506-2516, Oct. 2010.
29. D. Naranjo, L. Roa, J. Reina-Tosina, and M. Estudillo-Valderrama, "Personalization and adaptation to the medium and context in a fall detection system," IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 2, pp. 264-271, Mar. 2012.
30. D. Curone, G. Bertolotti, A. Cristiani, E. Secco, and G. Magenes, "A real-time and self-calibrating algorithm based on triaxial accelerometer signals for the detection of human posture and activity," IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 4, pp. 1098-1105, Jul. 2010.
31. B. Ainsworth, W. Haskell, M. Whitt, M. Irwin, A. Swartz, S. Strath, W. O'Brien, D. Bassett, K. Schmitz, P. Emplaincourt, D. Jacobs, and A. Leon, "Compendium of physical activities: An update of activity codes and met intensities," Med. Sci. Sports Exercise, vol. 32, no. 9 Suppl., pp. S498-S504, 2000.
32. O. Aziz, L. Atallah, B. Lo, E. Gray, T. Athanasiou, A. Darzi, and G. Yang, "Ear-worn body sensor network device: An objective tool for functional postoperative home recovery monitoring," J. Amer.Med. Informat. Assoc., vol. 18, no. 2, pp. 156-159, 2011.