Classifying Gait Data Using Different Machine Learning Techniques and Finding the Optimum Technique of Classification
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-3920-1_31
Reference11 articles.
1. Rattiya Thanasoontornerk, Chatkaew Pongmala, Areerat Suputtiada: Tree Induction for Diagnosis on Movement Disorders Using Gait Data. In: 2013 5th International Conference on Knowledge and smart technology (KST).
2. Kiichi_Katoh, Makoto Katoh.: Using FS in Tuning a Biped Locomotion Surrogate Robot for Walking Training. In: 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).
3. Mitsuru Yoneyama, Yosuke Kurihara, Kajiro Watanabe: Accelerometry-Based Gait Analysis and Its Application to Parkinson’s Disease Assessment—Part 2: IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 21, no. 6, November 2013.
4. M. Ogata, T. Karato, T. Tsuji, H. Kobayashi and K. Irie.: Development of Active Walker by using Hart Walker. In: SICE-ICASE International Joint Conference 2006 Oct. 18–21, 2006 in Bexco, Busan, Korea.
5. Hiroshi Kobayashi, Takeo Karato, and Toshiaki Tsuji.: Development of an Active Walker as a New Orthosis. Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation August 5–8, 2007, Harbin, China.
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