Automatic measurement of physical mobility in Get-Up-and-Go Test using kinect sensor

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 3492-3495

  Kargar, B Amir H ^a   Mollahosseini, Ali ^a   Struemph, Taylor ^b   Pace, Wilson ^b   Nielsen, Rodney D ^c   Mahoor, Mohammad H ^a  

^a University of Denver   (United States)

^b UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

AUTOMATIC ANALYSIS; AUTOMATIC MEASUREMENTS; HUMAN SKELETON; KINECT SENSORS; MICROSOFT KINECT SENSORS; PHYSICAL MOBILITY; PILOT STUDIES; STATE OF THE ART;

LEARNING ALGORITHMS;

AGED; ALGORITHM; AMBULATORY MONITORING; FALLING; GAIT; HUMAN; PILOT STUDY; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE; VERY ELDERLY;

ACCIDENTAL FALLS; AGED; AGED, 80 AND OVER; ALGORITHMS; GAIT; HUMANS; MONITORING, AMBULATORY; PILOT PROJECTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES;

EID: 84929494046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944375     Document Type: Conference Paper

References (13)

1. D. Podsiadlo and S. Richardson, "The timed" up & go": a test of basic functional mobility for frail elderly persons." Journal of the American geriatrics Society, Vol. 39, no. 2, pp. 142-148, 1991.
2. K. Culhane, M. O'Connor, D. Lyons, and G. Lyons, "Accelerometers in rehabilitation medicine for older adults," Age and ageing, Vol. 34, no. 6, pp. 556-560, 2005.
3. 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," Biomedical Engineering, IEEE Transactions on, Vol. 57, no. 12, pp. 2918-2926, 2010.
4. G. Demiris, M. J. Rantz, M. A. Aud, K. D. Marek, H. W. Tyrer, M. Skubic, and A. A. Hussam, "Older adults' attitudes towards and perceptions of'smart home'technologies: a pilot study," Informatics for Health and Social Care, Vol. 29, no. 2, pp. 87-94, 2004.
5. R. Poppe, "Vision-based human motion analysis: An overview," Computer vision and image understanding, Vol. 108, no. 1, pp. 4-18, 2007.
6. A. Leu, D. Ristic-Durrant, and A. Graser, "A robust markerless vision-based human gait analysis system," in Applied Computational Intelligence and Informatics (SACI), 2011 6th IEEE International Symposium on. IEEE, 2011, pp. 415-420.
7. E. E. Stone and M. Skubic, "Evaluation of an inexpensive depth camera for passive in-home fall risk assessment." in PervasiveHealth, 2011, pp. 71-77.
8. M. Gabel, R. Gilad-Bachrach, E. Renshaw, and A. Schuster, "Full body gait analysis with kinect," in Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. IEEE, 2012, pp. 1964-1967.
9. B. Isaacs, "Clinical and laboratory studies of falls in old people. prospects for prevention." Clinics in geriatric medicine, Vol. 1, no. 3, pp. 513-524, 1985.
10. S. Mathias, U. Nayak, B. Isaacs et al., "Balance in elderly patients: the" get-up and go" test." Archives of physical medicine and rehabilitation, Vol. 67, no. 6, pp. 387-389, 1986.
11. E. Nordin, E. Rosendahl, and L. Lundin-Olsson, "Timed up & go test: reliability in older people dependent in activities of daily living?focus on cognitive state," Physical therapy, Vol. 86, no. 5, pp. 646-655, 2006.
12. [Online]. Available: http://msdn.microsoft.com/en-us/library/hh973074.aspx
13. L. Fei-Fei and P. Perona, "A bayesian hierarchical model for learning natural scene categories," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 2. IEEE, 2005, pp. 524-531.