Brainwave-based Oral Recognition for the Mute

Paper from Provincial Innovation Competition in 2017 by Bell Chen

This project focused on the application of non-invasive Brain-Computer Interface with machine learning techniques. We implemented the control input via the analysis of the data from current non-invasive BCI using machine learning algorithms. The main objective of this project is typing words.

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