An Intelligent Infrared LED-Based Prosthesis Training System

REFERENCES

• Au, S. K., J. Weber, and H. Herr. 2009. Powered ankle–foot prosthesis improves walking metabolic economy. IEEE Transactions on Robotics 25 (1 ):51 –66.
   Web of Science ®Google Scholar
• Bateni, H., and S. Olney. 2002. Kinematic and kinetic variations of below-knee amputee gait. Journal of Prosthetics and Orthotics 14 (1 ):2 –13.
   Google Scholar
• Breiman, L., J. H. Friedman, R. A. Olshen, and C. J. Stone. 1984. Classification and regression trees. New York, NY: Chapman and Hall/CRC.
   Google Scholar
• Earl, G., R. Johnsonbaugh, and S. Jost. 1996. Pattern recognition and image analysis. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Funahashi, T., T. Fujiwara, and H. Koshimizu. 2009. Vision-based modeling of human behavior in production process. Paper presented at HSI ‘09. 2nd Conference on Human System Interactions, 697 –700. Italy, May.
   Google Scholar
• Goulermas, J.-Y., A.-H. Findlow, C.-J. Nester, P. Liatsis, X.-J. Zeng, L.-P.-J. Kenney, P. Tresadern, S.-B. Thies, and D. Howard. 2008. An instance-based algorithm with auxiliary similarity information for the estimation of gait kinematics from wearable sensors. IEEE Transactions on Neural Networks 19 (9 ):1574 –1582.
   PubMed Web of Science ®Google Scholar
• Huang, C. J., C. F. Lin, P. Y. Tsai, Y. W. Wang, C. Y. Li, H. M. Chen, and J. J. Liao. 2010. Body sensor network based prosthesis training system for leg-amputees. Paper presented at the 2010 IEEE International Conference on Industrial Engineering and Engineering Management, 1957 –1961. Macao, December.
   Google Scholar
• Hughes, G. 1968. On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory 14 (1 ):55 –63.
   Web of Science ®Google Scholar
• Kaburlasos,V.-G., I.-N. Athanasiadis, and P.-A. Mitkas. 2007. Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation. International Journal of Approximate Reasoning 45 (1 ):152 –188.
   Web of Science ®Google Scholar
• Llora, X., and J. M. Garrell. 2001. Evolution of decision trees. Paper presented at the Conference on Artificial Intelligence, 115 –122. Spain, October.
   Google Scholar
• Mak, A. F. T., M. Zhang, and D. A. Boone. 2001. State-of-the-art research in lower-limb prosthetic biomechanics—Socket interface. Journal of Rehabilitation Research and Development (38 ):161 –167.
   PubMed Web of Science ®Google Scholar
• Orendurff, M. S., A. D. Segal, G. K. Klute, M. L. McDowell, J. A. Pecoraro, and J. M. Czerniecki. 2006. Gait efficiency using the c-leg. Journal of Rehabilitation Research and Development 43 (2 ):239 –246.
   PubMed Web of Science ®Google Scholar
• Papagelis, A., and D. Kalles. 2001. Breeding decision trees using evolutionary techniques. Paper presented at the International Conference On Machine Learning, Williams College, Williamstown, MA, USA, June, 393–400.
   Google Scholar
• Quinlan, R. J. 1993. C4.5: Programs for machine learning. San Mateo, CA: Morgan Kaufmann.
   Google Scholar
• Safavian, S. P., and D. Landgrebe. 1991. A survey of decision tree classifier methodology. IEEE Transactions on Systems, Man, and Cybernetics 21 (3 ):660 –674.
   Web of Science ®Google Scholar
• Seko,Y., H. Miyake, Y. Yamaguchi, and H. Hotta. 2004. Optical 3D sensing by a single camera with a lens of large spherical aberration. Paper presented at the Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 179 –182. Australia, December 14–17.
   Google Scholar
• Skinner, H. B., and D. J. Effeney. 1985. Gait analysis in amputees. American Journal of Physical Medicine and Rehabilitation 64:82 –89.
   Web of Science ®Google Scholar
• Song, B., H. Choi, and H.-S. Lee. 2008. Surveillance tracking system using passive infrared motion sensors in wireless sensor network. Paper presented at the Proceedings of the International Conference on Information Networking, 1 –5. South Korea, December.
   Google Scholar
• Umbehr, J. 2008. Bluetooth: The next advancement for prosthetics. Internet Journal of Emerging Medical Technologies.
   Google Scholar
• Want, R., A. Hopper, V. Falcão, and J. Gibbons. 1992. The active badge location system. ACM Transactions on Information Systems 10 (1 ): 91 –102.
   Web of Science ®Google Scholar
• Winter, D. A., and S. E. Sienko. 1988. Biomechanics of below-knee amputee gait. Journal of Biomechanics 21 (5 ):361 –367.
   PubMed Web of Science ®Google Scholar
• Zhu, X., J. Wang, H. Yan, and S. Wu. 2009. Research and application of the improved algorithm C4.5 on decision tree. International Conference on Test and Measurement 2:184 –187.
   Google Scholar