Data-driven Gait-predictive Model for Anticipatory Prosthesis Control
Author:
Affiliation:
1. University Medical Center Goettingen,Applied Rehabilitation Technology Lab (ART-Lab),Goettingen,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9896400/9896402/09896505.pdf?arnumber=9896505
Reference24 articles.
1. Locomotion Envelopes for Adaptive Control of Powered Ankle Prostheses
2. A Support Vector Regression Approach for Continuous Prediction of Ankle Angle and Moment During Walking: An Implication for Developing a Control Strategy for Active Ankle Prostheses
3. Continuous Prediction of Joint Angular Positions and Moments: A Potential Control Strategy for Active Knee-Ankle Prostheses
4. A Real-Time Gait Event Detection for Lower Limb Prosthesis Control and Evaluation
5. Prediction of gait trajectories based on the Long Short Term Memory neural networks
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