The ability to control machines and equipment with just one's thoughts is a concept that has been explored in the field of neuroscience for decades. The development of brain-computer interfaces (BCIs) has made it possible to translate electrical signals generated by the brain into machine commands. In recent years, the field of BCI has made significant advancements in non-intrusive technology, which has the potential to revolutionize the way we interact with machines and equipment in a variety of fields. The objective of this project is to merge non-intrusive BCI technology with personal protective equipment (PPE) and control the flow of fluids through human sensory and peripheral signals in field environments.

A revolutionary system application was developed and tested by paper authors Kyle W. Divine, Thomas P. Sullivan, Nawaf A. Alrajeh and Nabil M. Bukhari from Saudi Aramco. This proposed system involves the use of a BCI with Electroencephalography (EEG) mounted within a traditional hardhat. The electrical signals generated from the thoughts of the wearer are used to train a Convolutional Neural Network (CNN) and modeled to recognize the wearer's imagined words, primarily open, close, push, pull, turn left, or turn right. These interpreted electrical signals are then relayed to the valve through a Micro Controller device resulting in the operation of the valve and the successful control of fluids with simple thought commands.

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