Technique of User-Computer Interface to Form the Movement Orientation of Virtual Objects within Virtual Reality Applications

Abstract:
The machine-user interface is a dynamic technique for many applications precisely those associated with the motion of robots. The electrical signals generated in the brain pass through the nerves leading to the activities of the mixture on the scalp. Magnetic activates extracts to reflect a specific brain state and can be used to control the device. Robot motion control is achieved using brain waves that are classified by deep learning techniques namely AlexNet (CNN) in this paper that has been compared to another front-feeding neural network (ANN). The proposed case resulted in a forecast accuracy of more than 95%.

Keywords:
Deep Learning, LMS, Brain Waves, Features, Classification.

Author (s): Hala Husham Nussrat;Taymoor Husham Nussrat
Affilation: Mustansiriyah University, College of Engineering, Baghdad, Iraq

Cite this article

Hala Husham Nussrat, Taymoor Husham Nussrat, "Technique of User-Computer Interface to Form the Movement Orientation of Virtual Objects within Virtual Reality Applications ", Journal of Positive Sciences, 4(4), 2024, 61-68, DOI: https://doi.org/10.52688/ASP72649

Cite as: Google Scholar | Mendeley | Zotero

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Technique of User-Computer Interface to Form the Movement Orientation of Virtual Objects within Virtual Reality Applications

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