Daily life movements such as standing, walking, and
jumping need balance ability to achieve. Good balance control is closely
related to the body stability and its development. According to medical
research, people showing dizziness after taking drugs may have their balance
ability substantially affected, and are more likely to fall, especially true to
the elderly. This study proposes the combination of Kinect with virtual
reality to build an information platform of interactive scenarios, for
practices and evaluation on balance ability. Based on the indicators of balance
ability, this platform sets out various training activities to improve the
balance ability, making the supposedly boring process fun and vivid for a much
better training purposes. Also, according to literatures, training with gaming
patterns results in 30% reduction of falls. What’s more, this type of training
can have the data, like time of use, scores, and joint postures, recorded and
sent through network to databases on remote computer servers. The data
collected from this platform can be sorted and analyzed, and the results can
then be used to evaluate the performance of the balance training, and
referenced for follow-up planning in the future.
Cite this paper
Hsieh, W. , Chen, C. , Wang, S. , Chen, Y. , Hwang, Y. and Lai, J. (2013) Combination of the Kinect with Virtual Reality in Balance Training for the Elderly. Engineering
, 171-175. doi: 10.4236/eng.2013.510B037
 Bureau of Health Promotion, Department of Health, Chinese Taipei.
 A. S. Robbin and L. Z. Ru-benstein, “Predictors of Fall among Elderly People,” Archives of Internal Medicine, Vol. 49, 1989, pp. 1628-1633.
 M. E. Daubney and E. G. Culham, “Lower-Extremity Muscle Fore and Balance Performance in Adults Aged 65 Years and Older”, Physical Therapy, Vol. 79, No. 12, 1999, pp. 1177-1185.
 M. C. Robertson, A. J. Campbell, M. M. Gardner and N. Devlin, “Preventing Injuries in Older People by Preventing Falls: A Meta-Analysis of Individual-Level Data,” Journal of the American Geriatrics Society, Vol. 50, 2002, pp. 905-911.
 T. Ledin, A. C. Kronhed, C. Moller, M. Moller, L. M. Odkvist and B. Olsson, “Effects of Balance Training in Elderly Evaluated by Clinical Tests and Dynamic Petrography,” Journal of Vestibular Research, Vol. 1, No. 2, 1990, pp. 129-138.
 B. Belgen, M. Beninato, P. E. Sullivan and K. Narielwalla, “The Association of Balance Capacity and Falls Self-efficacy with History of Falling in Community-Dwelling People with Chronic Stroke,” The American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation, Vol. 87, 2006, pp. 554-561.
 D. Taylor and C. Stretton, “The Otago Exercise Program, An Evidence-Based Approach to Falls Prevention for Older Adults Living in the Community,” Journal of Primary Health Care, Vol. 31, No. 6, 2004.
 R. Y. Wang, “Virtual Reality-Enhanced Optimal Exercise Training Model for Falls Prevention and Its Remote Applications in Elderly with Different Fall Risks,” NSC 100-2314-B010-022-MY2, 2011.
 Y. R. Yang, “Optimized Exercise Model and Remote Training for Fall Prevention in Elderly (I),” NSC100-2314-B010-021-MY2, 2011.