Dual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control

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This page serves as a public repository for the data related to offline and real-time hand grasp control for myoelectric partial-hand prostheses, using a novel dual window classification scheme. This research was submitted as a manuscript to the **Frontiers in Neuroscience** under the Research Topic: *Current challenges and new avenues in neural interfacing: from nanomaterials and microfabrication state-of-the-art, to advanced control-theoretical and signal-processing principles* A full write-up of this research can be found: **Frontiers in Neuroscience**: [Available here][1] **Personal Website**: [Available here][2] This work was later expanded upon in [this conference submission to BioRob][3]. [1]: https://www.frontiersin.org/articles/10.3389/fnins.2016.00058/full [2]: http://www.ericjearley.com/assets/files/Earley_2016_Frontiers.pdf [3]: https://osf.io/a8w4m

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