References
- Korea Employment Agency for the Disabled, Panel Survey of Employment for the Disabled: Characteristics by Disability Type, 2017. http://kosis.kr/statHtml/statHtml.do?orgId=383&tblId=DT_383003_P009
- Chan, F. H., Yang, Y. S., Lam, F. K., Zhang, Y. T., & Parker, P. A., "Fuzzy EMG classification for prosthesis control," IEEE transactions on rehabilitation engineering, Vol.8, No.3, pp.305-311, 2000. DOI: 10.1109/86.867872
- Spanias, J. A., Simon, A. M., Ingraham, K. A., & Hargrove, L. J, "Effect of additional mechanical sensor data on an EMG-based pattern recognition system for a powered leg prosthesis," 7th International IEEE/EMBS Conference on Neural Engineering (NER), pp.639-642, 2015. DOI: 10.1109/NER.2015.7146704
- L. J. Hargrove, A. M. Simon, A. J. Young, R. D. Lipschutz, S. B. Finucane, D. G. Smith, T. A. Kuiken, "Robotic leg control with EMG decoding in an amputee with nerve transfers," New England Journal of Medicine, Vol.369, No.13, pp.1237-1242, 2013. DOI: 10.1056/NEJMoa1300126
- Sun-Jong Na, Jin-Woo Shin, Su-Hong Eom, Eung-Hyuk Lee, "A Study on the Activation of Femoral Prostheses: Focused on the Development of a Decision Tree based Gait Phase Identification Algorithm," 16th International Conference on Informatics in Control, Automation and Robotcis (ICINCO), pp.775-780, 2019. DOI: 10.5220/0007950707750780
- Shahmoradi, S., & Shouraki, S. B., "A Fuzzy sequential locomotion mode recognition system for lower limb prosthesis control," Iranian Conference on Electrical Engineering (ICEE), pp.2153-2158, 2017. DOI: 10.1109/IranianCEE.2017.7985417
- H. F. Maqbool, M. A. B. Husman, M. I. Awad, A. Abouhossein, Nadeem Iqbal, A. A. Dehghani- Sanij, "A Real-Time Gait Event Detection for Lower Limb Prosthesis Control and Evaluation," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.25, No.9, pp.1500-1509, 2017. DOI: 10.1109/TNSRE.2016.2636367
- Simon, Ann M., Emily A. Seyforth, and Levi J. Hargrove., "Across-Day Lower Limb Pattern Recognition Performance of a Powered Knee-Ankle Prosthesis," 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), pp.242-247, 2018. DOI: 10.1109/BIOROB.2018.8487836
- Shahmoradi, S., & Shouraki, S. B., "A Fuzzy sequential locomotion mode recognition system for lower limb prosthesis control," Iranian Conference on Electrical Engineering (ICEE), pp.2153-2158, 2017. DOI: 10.1109/IranianCEE.2017.7985417
- H. F. Maqbool, M. A. B. Husman, M. I. Awad, A. Abouhossein, Nadeem Iqbal, A. A. Dehghani-Sanij, "A Real-Time Gait Event Detection for Lower Limb Prosthesis Control and Evaluation," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.25, No.9, pp.1500-1509, 2017. DOI: 10.1109/TNSRE.2016.2636367
- Won ho Heo, Euntai Kim, Hyun Sub Park, and Jun-Young Jung, "A Gait Phase Classifier using a Recurrent Neural Network," Journal of Institute of Control, Robotics and Systems, Vol.21, No.6, pp.518-523. 2015. DOI: 10.5302/J.ICROS.2015.15.9024
- Cho, Y. S., Jang, S. H., Cho, J. S., Kim, M. J., Lee, H. D., Lee, S. Y., & Moon, S. B., "Evaluation of Validity and Reliability of Inertial Measurement Unit-Based Gait Analysis Systems," Annals of rehabilitation medicine, Vol.42, No.6, pp.872-883, 2018. DOI: 10.5535/arm.2018.42.6.872
- Jacquelin Perry, Gait Analysis: Normal and Pathological Function, 2nd Edition. SLACK Incorporated, 2012. DOI: 10.1302/0301-620X.92B8.0921184a
- Ledoux, E. D., "Inertial sensing for gait event detection and transfemoral prosthesis control strategy," IEEE Transactions on Biomedical Engineering, Vol.65, No.12, pp.2704-2712, 2018. DOI: 10.1109/TBME.2018.2813999
- Lopez-Delis, A., Miosso, C. J., Carvalho, J. L., da Rocha, A. F., & Borges, G. A., "Continuous Estimation Prediction of Knee Joint Angles Using Fusion of Electromyographic and Inertial Sensors for Active Transfemoral Leg Prostheses," Advances in Data Science and Adaptive Analysis, Vol.10, No.2, 2018. DOI: 10.1142/S2424922X18400089
- H. Wu, Q. Huang, D. Wang, and L. Gao, "A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals," Journal of Electromyography and Kinesiology, Vol.42, pp.136-142, 2018. DOI: 10.1016/j.jelekin.2018.07.005
- Ekkachai, K., & Nilkhamhang, I. "Swing phase control of semi-active prosthetic knee using neural network predictive control with particle swarm optimization," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.24, No.11, pp.1169-1178, 2016. DOI: 10.1109/TNSRE.2016.2521686
- L. Breiman, "Random Forests," Machine Learning, Vol.45, pp.5-32, 2001. DOI: 10.1023/A:1010933404324
- Segal, Ava D., et al. "Kinematic and kinetic comparisons of transfemoral amputee gait using C-Leg and Mauch SNS prosthetic knees," Journal of Rehabilitation Research & Development, Vol.43, No.7, pp.857-869, 2006. DOI: 10.1682/JRRD.2005.09.0147