Abstract
The Choice Stepping Reaction Time (CSRT) task is time-based clinical test that has shown to reliably predict falls in older adults. Its current mode of delivery involves the use of a custom-made dance mat device. This mat is a measurement tool that can reliably obtain step data to discriminate between fallers and non-fallers. One of the pitfalls of this test is that the technology in use still imposes an obstacle on the degree of freedom to be able to perform adaptive exercises suitable for the elderly. In this paper, we describe a Kinect-based system that measures stepping performance through the use of a hybrid version of the CSRT task. This study focuses on assessing this system’s capabilities to reliably measure a time-based clinical test of fall risk. Results showed a favorable correspondence and agreement between the two systems, suggesting that this platform could be potentially useful in the clinical practice.
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Chen, S.-T., Huang, Y.-G., Chiang, I.-T.: Using somatosensory video games to promote quality of life for the elderly with disabilities. In: 2012 IEEE Fourth International Conference on Digital Game and Intelligent Toy Enhanced Learning (DIGITEL), pp. 258–262. IEEE (2012)
Dutta, A., Banerjee, A., Dutta, A.: Low-cost visual postural feedback with Wii Balance Board and Microsoft Kinect-a feasibility study. In: 2013 IEEE Point-of-Care Healthcare Technologies (PHT), pp. 291–294. IEEE (2013)
Dutta, T.: Evaluation of the KinectTM sensor for 3-D kinematic measurement in the workplace. Applied Ergonomics 43(4), 645–649 (2012)
Ganesan, S., Anthony, L.: Using the kinect to encourage older adults to exercise: A prototype. In: Proceedings of the 2012 ACM Annual Conference Extended Abstracts on Human Factors in Computing Systems Extended Abstracts, pp. 2297–2302. ACM (2012)
Garcia, J.A., Pisan, Y., Tan, C.T., et al.: Step kinnection: A hybrid clinical test for fall risk assessment in older adults. In: CHI 2014 Extended Abstracts on Human Factors in Computing Systems, pp. 471–474. ACM, Toronto (2014)
Gerling, K., Livingston, I., Nacke, L., et al.: Full-body motion-based game interaction for older adults. In: Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems, pp. 1873–1882. ACM (2012)
John, M., et al.: SmartSenior’s interactive trainer - development of an interactive system for a home-based fall-prevention training for elderly people. In: Wichert, R., Eberhardt, B. (eds.) Ambient Assisted Living. ATSC, vol. 2, pp. 305–316. Springer, Heidelberg (2012)
Kayama, H., Okamoto, K., Nishiguchi, S., et al.: Concept Software Based on Kinect for Assessing Dual-Task Ability of Elderly People. GAMES FOR HEALTH: Research, Development, and Clinical Applications 1(5), 348–352 (2012)
Kepski, M., Kwolek, B.: Fall detection on embedded platform using kinect and wireless accelerometer. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds.) ICCHP 2012, Part II. LNCS, vol. 7383, pp. 407–414. Springer, Heidelberg (2012)
Kim, J., Son, J., Ko, N., et al.: Unsupervised Virtual Reality-Based Exercise Program Improves Hip Muscles Strength and Balance Control in the Elderly: A Pilot Study. Archives of Physical Medicine and Rehabilitation (2012)
Lohmann, O., Luhmann, T., Hein, A.: Skeleton Timed Up and Go. In: 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1–5. IEEE (2012)
Lord, S.R., Fitzpatrick, R.C.: Choice Stepping Reaction Time: A Composite Measure of Falls Risk in Older People. Journals of Gerontology Series A: Biological Sciences & Medical Sciences 56A(10), M627 (2001)
Parajuli, M., Dat, T., Wanli, M., et al.: Senior health monitoring using Kinect. In: 2012 Fourth International Conference on Communications and Electronics, ICCE (2012)
Schoene, D., Lord, S.R., Verhoef, P., et al.: A novel video game–based device for measuring stepping performance and fall risk in older people. Archives of Physical Medicine and Rehabilitation 92(6), 947–953 (2011)
Stone, E.E., Skubic, M.: Evaluation of an inexpensive depth camera for in-home gait assessment. Journal of Ambient Intelligence and Smart Environments 3(4), 349–361 (2011)
Stone, E.E., Skubic, M.: Evaluation of an inexpensive depth camera for passive in-home fall risk assessment. In: 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 71–77. IEEE (2011)
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Garcia, J.A., Pisan, Y., Tan, C.T., Navarro, K.F. (2014). Assessing the Kinect’s Capabilities to Perform a Time-Based Clinical Test for Fall Risk Assessment in Older People. In: Pisan, Y., Sgouros, N.M., Marsh, T. (eds) Entertainment Computing – ICEC 2014. ICEC 2014. Lecture Notes in Computer Science, vol 8770. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45212-7_13
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DOI: https://doi.org/10.1007/978-3-662-45212-7_13
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