참고문헌
- Chae YS. A serious game design and prototype development for rehabiltation using KINECT tools. J Korean Multimed Soc. 2014;17(2):248-256. https://doi.org/10.9717/kmms.2014.17.2.248
- Choi HS. Kinect-based motion recognition model for the 3D contents control. International Journal Of Contents. 2014;14(1):24-29.
- Chung CY, Park MS, Choi IH, et el. Three dimensional gait analysis in normal korean A preliminary report. J Korean Orthop Assoc. 2005;40(1):83-88. https://doi.org/10.4055/jkoa.2005.40.1.83
- Corazza S, Mundermann L, Chaudhari AM, et al. A markerless motion capture system to study musculoskeletal biomechanics: Visual hull and simulated annealing approach. Ann Biomed Eng. 2006;34(6):1019-1029. https://doi.org/10.1007/s10439-006-9122-8
- Daphne JG, Bert HC, Melvyn R. Kinematic validation of a multi-kinect v2 instrumented 10-meter walkway for quantitative gait assessments. PLoS ONE. 2015;10(10):1-15. https://doi.org/10.1371/journal.pone.0139913
- Hollmn JH, McDade EM, Petersen RC. Normative spatiotemporal gait parameters in older adults. Gait Posture. 2011;34(1):111-118. https://doi.org/10.1016/j.gaitpost.2011.03.024
- Jung GI. A New approach for measuring of stride length using optical method. Seoul, Konkuk University, Master Thesis. 2010.
- Kim CK, Son WJ. Trends analysis of animation technology using motion capture system. Journal of Korea Design Forum. 2008;19:203-211.
- Kim G, Yoon NM. A study on kinetic gait analysis of the normal adult. J Kor Soc Phys Ther. 2009;21(2):87-95.
- Kim JJ, Gwon SJ, Lee YS. Smart remote rehabilitation system based on the measurement of heart rate from ECG sensor and kinect motion-recognition. J Sens Sci Tech. 2015;24(1):69-77. https://doi.org/10.5369/JSST.2015.24.1.69
- Lee G, Cho CH, Lim KJ, et al. Efect of direction to be used for the timed up and go test on walking time in stroke patients. Phys Ther Kor. 2016;23(2):1-19. https://doi.org/10.12674/ptk.2016.23.2.011
- Mentiplay BF, Perraton LG, Bower KJ, et al. Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables. J Biomech. 2015;48(10):2166-2170. https://doi.org/10.1016/j.jbiomech.2015.05.021
- Oh YS, Woo YK. The effects of backward walking training with inclined treadmil on the gait in chronic stroke patients. Phys Ther Kor. 2016;23(3):1-10. https://doi.org/10.12674/ptk.2016.23.3.001
- Pfister A, West AM, Bronner S, et al. Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis. J Med Eng Technol. 2014;38(5):274-280. https://doi.org/10.3109/03091902.2014.909540
- Valmassy R. Clinical Biomechanics of the Lower Extremities. Height. MD, MO. Mosby, 1996.
- Xu X, McGorry RW, Chou LS, et al. Accuracy of the Microsoft Kinect for measuring gait parameters during treadmill walking. Gait Posture. 2015;42(2):145-151. https://doi.org/10.1016/j.gaitpost.2015.05.002
- Yang HD. Conditional random field based gesture recognition with Kinect sensor. Journal of KISS : Software and applications. 2013;40(11);716-723.
- Yang ST, Kang DW, Seo JW, et al. Evaluation of balance ability of the elderly using kinect sensor. Trans Korean Inst Electr Eng. 2017;66(2):439-446. https://doi.org/10.5370/KIEE.2017.66.2.439