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Exoskeleton Follow-Up Control Based on Parameter Optimization of Predictive Algorithm
2021
Applied Bionics and Biomechanics
The prediction of sensor data can help the exoskeleton control system to get the human motion intention and target position in advance, so as to reduce the human-machine interaction force. In this paper, an improved method for the prediction algorithm of exoskeleton sensor data is proposed. Through an algorithm simulation test and two-link simulation experiment, the algorithm improves the prediction accuracy by 14.23 ± 0.5%, and the sensor data is smooth. Input the predicted signal into the
doi:10.1155/2021/8850348
pmid:33552233
pmcid:PMC7843196
fatcat:mx3zv7b5hbgr7bpyys7jbibhdy