Controlling a robotic arm using the power of the brain (BCI)

In this research project, we designed and implemented an electroencephalography (EEG)-based brain-computer interface (BCI) to monitor and analyze human brainwaves. We use an EEG brainwear to capture the human brain wave patterns and send raw neuro signals to our proposed interface. This BCI recognizes changes in brainwaves when the user imagines performing a specific function. Our system processes and classifies the signals and converts them to meaningful commands used to control a mini-industrial robotic arm. This desktop robotic arm consists of 23 pieces and is completely printed using a fused filament fabrication (FFF) 3D printer. The whole mechanism is based on three stepper motors that allow the robot to produce the sequence of automatized movements on five axes. Our brain-computer interface enables users to control this mini-industrial robotic arm in different translational directions using the power of their minds.

[@yuranbanzeoficial]

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[@techfanatic8368]

Awesome bro It's nice to meet fellow African or Black people in STEM.

[@williamranaudo568]

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[@user-fq6xw4rg6y]

Super Proud!!! Keep it up!!!

[@Sonammotovlogs]

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[@riagreen9294]

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[@the_queen_smk]

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[@Sonammotovlogs]

Need more communication and editing my man rest you're doin good👍🏼

[@Koneeelisa]

😍😍