Linear Prediction Model for Joint Movement of Lower Extremity-Reference-Cited by-同舟云学术

Linear Prediction Model for Joint Movement of Lower Extremity

Published:2018-11-04 Issue: Volume: Page:235-243
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Prakash Chandra,Sujil A.,Kumar Rajesh,Mittal Namita

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8639-7_24

Reference14 articles.

1. Prakash, C., Kumar, R., Mittal, N.: Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges. Artif. Intell. Rev. (2016)

2. Beyl, P.: Design and control of a knee exoskeleton powered by pleated pneumatic artificial muscles for robot-assisted gait rehabilitation. Mech. Eng. (2010)

3. Gouwanda, D., Gopalai, A.A.: A robust real-time gait event detection using wireless gyroscope and its application on normal and altered gaits. Med. Eng. Phys. 37(2), 219–225 (2015)

4. Glackin, C., Salge, C., Polani, D., Tüttemann, M., Vogel, C., Guerrero, C.R., Grosu, V., et al.: Learning gait by therapist demonstration for natural-like walking with the corbys powered orthosis. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5605–5610. IEEE (2015)

5. Aertbeliën, E., De Schutter, J.: Learning a predictive model of human gait for the control of a lower-limb exoskeleton. In: 2014 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 520–525. IEEE (2014)

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