A system for accelerometer-based gesture classification using artificial neural networks


A great many people suffer from neurological movement disorders that render typical hardware interface devices ineffective. A need exists for a universal interface device that can be trained to accept a wide range of inputs across varying types and severities of movement disorders. In this regard, this paper details the design, testing and optimization of… (More)
DOI: 10.1109/EMBC.2017.8037779


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