References
- Patel, S. et al. "A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology." Proceedings of the IEEE 98.3 pp. 450-461, 2010 https://doi.org/10.1109/JPROC.2009.2038727
- Yao-Jen Chang, Wen-Ying Han, Yu-Chi Tsai, "A Kinect-based upper limb rehabilitation system to assist people with cerebral palsy", Research in Developmental Disabilities, vol 34, pp. 3654-3659, 2013. https://doi.org/10.1016/j.ridd.2013.08.021
- B. Mijovic, M.B. Popovic and D.B. Popovic, "Synergistic control of forearm based on accelerometer data and artificial neural networks", Brazilian Journal of Medical and Biological Research Vol. 41, pp 389-397, 2008. https://doi.org/10.1590/S0100-879X2008005000019
- Microsoft Kinect, http://www.microsoft.com/en-us/kinectforwindows/
- Y-N Park, S-M Seo, M-C Park, "The Implementation of Visualization Tool for Snowboard Using Kinect Sensor Data," Journal of the Korea Society of Computer and Information, Vol. 18, No. 5, pp. 53-60, May 2013. https://doi.org/10.9708/jksci.2013.18.5.053
- Shreiner, Dave, "OpenGL Programming Guide," Addison-Wesley, 2009.
- GLUT - The OpenGL Utility Toolkit, http://www.opengl.org/resources/libraries/glut/
- GLUI User Interface Library, http://glui.sourceforge.net/
- Bard, G., Hirschberg, G. G.: Recovery of Voluntary Motion in Upper Extremity Following Hemiplegia. Arch. Phys. Med. Rehabil. Vol. 46, pp. 567-572, 1965.
- Roden-Jullig, A., Britton, M., Gustafsson, C., Fugl-Meyer, A.: Validation of Four Scales for the Acute Stage of Stroke. J. Intern. Med. Vol. 236, pp. 125-136, 1994. https://doi.org/10.1111/j.1365-2796.1994.tb01274.x