Design and implementation of a low power mobile CPU based embedded system for artificial leg control
Document Type
Conference Proceeding
Date of Original Version
10-31-2013
Abstract
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.
Publication Title, e.g., Journal
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Citation/Publisher Attribution
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.
