Online ISSN: 2515-8260

Author : J, Anjana.

Implementation of Brain Controlled Robotic Car to Assist Paralytic and physically Challenged People by Analyzing EEG Signals

S. Mahaboob Basha; Gayathri. R; Anjana. J; Joy Sharon. J; R. Pavaiyarkarasi; J. Navin Sankar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2191-2199

In our society, many people are suffering from paralytic diseases which causes several disabilities like they are unable to talk , move physically and also to express their needs. Still, they mostly move their heads and blink their eyes. Based on their ability to blink, we have designed our project which is working under the principle of Brain-Computer Interface (BCI). BCI is based on the direct communication path between the Brain and digital computer. The BCI system enhances the quality of paralytic patients life. BCI which monitors EEG waves from the Brain. EEG –Electroencephalography which observes an Electrical property of the Brain through the Scalp (Noninvasive). The NeuroskyMindwave mobile measures intentionally directed EMG activity (blink strength).
Our proposed system helps them to control the robotic car to the desired place by their eye blink. So they don’t need any caretaker to drive them, they can drive their robotic vehicle themselves. The robotic car starts moving when we run the program; then the direction is chosen by having eye blinks.