Visualisation of movement of older adults within their homes based on PIR sensor data

2012 6th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2012

Volumn , Issue , 2012, Pages 252-259

  O'Brien, Andrea ^a   McDaid, Kevin ^a   Loane, John ^a   Doyle, Julie ^a   O'Mullane, Brian ^a  

^a DUNDALK INSTITUTE OF TECHNOLOGY   (Ireland)

Author keywords

AAL; PIR sensors, aging in place; Visualisation

Indexed keywords

AAL; AGE-RELATED; AGING IN PLACE; AGING POPULATION; CONTINUOUS MONITORING; INDEPENDENT LIVING; LIVING ROOM; MOVEMENT PATTERN; NUMBER OF PEOPLES; OLDER ADULTS; SENSOR DATA; WELLBEING;

HEALTH CARE; UBIQUITOUS COMPUTING; VISUALIZATION;

SENSORS;

EID: 84864971549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2012.248621     Document Type: Conference Paper

References (19)

1. P. Emery, "Evidence supporting the benefit of early intervention in rheumatoid arthritis," Journal of rheumatology. Supplement, vol. 66, pp. 3-8, 2002.
2. V. Rialle, C. Ollivet, C. Guigui and C. Hervé, "What Do family caregivers of Alzheimer's disease patients desire in smart home technologies? Contrasted results of a wide survey," Methods of Information in Medicine, vol. 47, pp. 63-69, 2008.
3. W. R. Swindell, et al., "Indicators of "Healthy Aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival, " BMC Geriatrics, 2010.
4. T. van Kasteren, A. Noulas, G. Englebienne and B. Kröse, "Accurate Activity Recognition in a Home Setting," presented at the Proceedings of the 10th International Conference on Ubiquitous Computing, Seoul, Korea, 2008.
5. P. Rashidi, D. J. Cook, L. B. Holder and M. Schmitter-Edgecombe, "Discovering activities to recognize and track in a smart environment," IEEE Transactions on Knowledge and Data Engineering, pp. 527-539, 2011.
6. S. Wang and M. Skubic, "Density map visualization from motion sensors for monitoring activity level," Visual Media Production (CVMP), Conference for, p. 1, 2008.
7. G. M. Youngblood, D. J. Cook and L. B. Holder, "The MavHome Architecture," Arlington2004.
8. S. Helal, et al., "The Gator Tech Smart House: A Programmable Pervasive Space," Computer, vol. 38, pp. 50-60, March 2005.
9. S. S. Intille, et al., "The PlaceLab: A Live-In Laboratory for Pervasive Computing Research," presented at the Pervasive Computing, Third International Conference, 2005.
10. T. L. Hayes, M. Pavel and J. A. Kaye, "An unobtrusive in-home monitoring system for detection of key motor changes preceding cognitive decline," Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, vol. 3, pp. 2480-2483, 2004.
11. M. Pavel, T. L. Hayes, A. Adami, H. B. Jimison and J. Kaye, "Unobtrusive assessment of mobility," presented at the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, 2006.
12. A. M. Adami, T. L. Hayes and M. Pavel, "Unobtrusive monitoring of sleep patterns," Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, pp. 1360-1363, 2003.
13. S. Hagler, D. Austin, T. L. Hayes, J. Kaye and M. Pavel, "Unobtrusive and Ubiquitous In-Home Monitoring: A Methodology for Continuous Assessment of Gait Velocity in Elders," Biomedical Engineering, IEEE Transactions on, vol. 57, pp. 813-820, 2010.
14. D. Austin, T. L. Hayes, J. Kaye, N. Mattek and M. Pavel, "On the Disambiguation of Passively Measured In-home Gait Velocities from Multi-person Smart Homes," Journal Ambient Intelligent Smart Environments, vol. 3, pp. 165-174, 2011.
15. D. J. Cook and L. B. Holder, "Sensor selection to support practical use of health-monitoring smart environments," Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 1, pp. 339-351, 2011.
16. M. J. Rantz, et al., "TigerPlace: A new future for older adults," Journal of Nursing Care Quality, vol. 20, pp. 1-4, 2005.
17. S. Wang, M. Skubic, Y. Zhu and C. Galambos, "Using Passive Sensing to Estimate Relative Energy Expenditure for Eldercare Monitoring," presented at the IEEE Intl. Conference on Pervasive Computing and Communications, Workshop on Smart Environments to Enhance Health Care, Seattle, WA, 2011.
18. W. Shuang, M. Skubic and Z. Yingnan, "Activity density map dissimilarity comparison for eldercare monitoring," in Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, 2009, pp. 7232-7235.
19. R. B. Stewart, M. T. Moore, F. E. May, R. G. Marks and W. E. Hale, "Nocturia: a risk factor for falls in the elderly," Journal of the American Geriatrics Society, vol. 40, pp. 1217-20, 1992.