Brain Computer Interface using Machine Learning
نویسنده
چکیده
This paper presents the design and development of a complete hardware and software solution for a brain computer interface (BCI). It consists of a non-intrusive multiple channel data acquisition device which captures the electrical brain wave signals and passes the data to a computer. The computer then uses signal processing and machine learning algorithms to identify patterns in the signals received from the BCI. The goal of the device is to be a highly adaptable BCI, able to be used in a multitude of applications ranging from object recognition to basic control functions. Currently, the system is work in progress. Author
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