Passive in-home measurement of stride-to-stride gait variability comparing vision and Kinect sensing

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6491-6494

  Stone, Erik E ^a   Skubic, Marjorie ^a  

^a University of Missouri   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FALL RISK; GAIT VARIABILITY; GROUND TRUTH; MICROSOFT; MOTION CAPTURE SYSTEM; OLDER ADULTS; VIDEO DATA; VISION BASED MONITORING; VISION BASED SYSTEM;

INDUSTRIAL ENGINEERING;

ENGINEERING;

AGED; AGING; ALGORITHM; AMBULATORY MONITORING; ARTICLE; COMPUTER; COMPUTER INTERFACE; DAILY LIFE ACTIVITY; DEMOGRAPHY; EQUIPMENT DESIGN; FALLING; GAIT; HUMAN; METHODOLOGY; RISK FACTOR; THREE DIMENSIONAL IMAGING; TIME;

ACCIDENTAL FALLS; ACTIVITIES OF DAILY LIVING; AGED; AGING; ALGORITHMS; COMPUTERS; EQUIPMENT DESIGN; GAIT; HUMANS; IMAGING, THREE-DIMENSIONAL; MONITORING, AMBULATORY; RESIDENCE CHARACTERISTICS; RISK FACTORS; TIME FACTORS; USER-COMPUTER INTERFACE;

EID: 84055183302     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091602     Document Type: Conference Paper

References (13)

1. Sattin RW. Falls among older persons: a public health prospective. Annu Rev Public Health. 1992;13:489-508.
2. D. Hodgins, "The Importance of Measuring Human Gait," Medical Device Technology, vol. 19, pp. 42-47, Sep. 2008.
3. BE. Maki, Gait changes in older adults: predictors of falls or indicators of fear, Journal of the American Geriatrics Society, vol. 45(3), pp. 313-20, 1997.
4. JM Hausdorff, DA Rios, HK Edelberg, Gait variability and fall risk in community-living older adults: a 1-year prospective study, Arch Phys Med Rehabil, 2001;82:1050-6.
5. Y. Barak et al., "Gait Characteristics of Elderly People with a History of Falls: A Dynamic Approach," Physical Therapy, 86, 11. 1501-1510 (2006).
6. B. Bilney, M. Morris, and K. Webster, "Concurrent related validity of the GAITRite walkway system for quantification of the spatial and temporal parameters of gait," Gait and Posture, vol. 17, pp. 68-74, 2003.
7. B. R. Greene, A. O'Donovan, R. Romero-Ortuno, L. Cogan, C. N. Scanaill, and R. A. Kenny, "Quantitative Falls Risk Assessment Using the Timed Up and Go Test," IEEE Trans. on Biomedical Engineering, vol. 57, no. 12, Dec., 2010, pp. 2918-2926.
8. Demiris G, Rantz MJ, Aud MA, Marek KD, Tyrer HW, Skubic M & Hussam AA, "Older Adults' Attitudes Towards and Perceptions of 'Smarthome' Technologies: a Pilot Study," Medical Informatics and The Internet in Medicine, June, 2004, vol. 29, no. 2, pp. 87-94.
9. G. Demiris, O. D. Parker, J. Giger, M. Skubic, and M. Rantz, "Older adults' privacy considerations for vision based recognition methods of eldercare applications," Technology and Health Care, vol. 17, pp. 41-48, 2009.
10. E. Stone, D. Anderson, M. Skubic, and J. Keller, "Extracting Footfalls from Voxel Data," 32nd Annual Int. Conf. of the IEEE EMBS, Buenos Aires, Argentina, Aug 31-Sep 4, 2010.
11. E. Stone and M. Skubic, "Evaluation of an Inexpensive Depth Camera for Passive In-Home Fall Risk Assessment," To appear 5th Int. Conf. on Pervasive Computing Technologies for Healthcare, Dublin, Ireland, May 2011.
12. E. Stone and M. Skubic, "Silhouette Classification Using Pixel and Voxel Features for Improved Elder Monitoring in Dynamic Environments," Workshop on Smart Environments to Enhance Health Care, Seattle, WA, Mar., 2011.
13. OpenKinect. http://openkinect.org