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1. PAPAMAMA rehabilitation system, https://www.longgood.com.tw/papamama
2. Rehabilitation system at home, http://khpo.iiiedu.org.tw
3. Gianni Fenu, and Gary Steri, "IMU based post-traumatic rehabilitation assessment", International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011.
4. W. Kong, S. Sessa, S. Cosentino, M. Zecca, K. Saito, C. Wang, U. Imtiaz, Z. Lin, L. Bartolomeo, H. Ishii, T. Ikai, A. Takanishi, "Development of a real-time IMU-based motion capture system for gait rehabilitation", IEEE International Conference on Robotics and Biomimetics, 2013.
5. Norhafizan Ahmad, Raja Ariffin Raja Ghazilla, and Nazirah M. Khairi, "Reviews on Various Inertial Measurement Unit (IMU) Sensor Applications", International Journal of Signal Processing Systems vol. 1, no. 2, 2013.
6. S. I. Lee, C. P. Adans-Dester, M. Grimaldi, A. V. Dowling, P. C. Horak, R. M. Black-Schaffer, P. Bonato, and J. T. Gwin, "Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training", IEEE Journal of Translational Engineering in Health and Medicine, vol. 6, 2018.
7. H. Mizuno, H. Nagai, K. Sasaki, H. Hosaka, C. Sugimoto, K. Khalil, and S. Tatsuta, "Wearable Sensor System for Human Behavior Recognition (First Report: Basic Architecture and Behavior Prediction Method)", Proc. of International Conference on Solid-State Sensors, Actuators, and Microsystems, pp. 435-438, 2007.
8. T. C. Wang, and C. Y. Wang, "A Smart Knee Pad for Stride Count and Walking Distance Measurement via Knee Angle Calculation", Master Thesis, National Tsing Hua University, Hsinchu, Taiwan, R.O.C., 2018.
9. Y. P. Chang, and C. Y. Wang,"A Smart Single-Sensor Device for Instantaneously Monitoring Lower Limb Exercises", Master Thesis, National Tsing Hua University, Hsinchu, Taiwan, R.O.C., 2018.
10. Gyro gesture control, http://www.gyro.com.tw/index.php/zh-tw/products-zh-tw/lot-smartsensor-zh-tw |