Design and implementation of a low power mobile CPU based embedded system for artificial leg control
Date of Original Version
This paper presents the design and implementation of a new neural-machine-interface (NMI) for control of artificial legs. The requirements of high accuracy, real-time processing, low power consumption, and mobility of the NMI place great challenges on the computation engine of the system. By utilizing the architectural features of a mobile embedded CPU, we are able to implement our decision-making algorithm, based on neuromuscular phase-dependant support vector machines (SVM), with exceptional accuracy and processing speed. To demonstrate the superiority of our NMI, real-time experiments were performed on an able bodied subject with a 20ms window increment. The 20ms testing yielded accuracies of 99.94% while executing our algorithm efficiently with less than 11% processor loads. © 2013 IEEE.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Hernandez, Robert, Qing Yang, He Huang, Fan Zhang, and Xiaorong Zhang. "Design and implementation of a low power mobile CPU based embedded system for artificial leg control." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS , (2013): 5769-5772. doi:10.1109/EMBC.2013.6610862.