Design of Brain Controlled Robotic Car using Raspberry Pi

Abstract

People all around the globe are becoming disabled as a result of ageing and paralytic diseases, making it impossible for them to meet their fundamental necessities. To develop assistance for the disabled population, this research work has designed a robotic car, which can be controlled based on their eye flicks. The proposed robotic car will work under the concept of Brain – Computer Interface [BCI]. Nevertheless, BCI is focused on establishing a direct verbal communication path between the brain and a virtual machine. And also, the BCI machine improves the attractiveness of incapacitated victims' lifestyle. The EEG wave obtained from the cerebrum is screened by BCI. Electroencephalography (EEG) is the test used to detect the electrical activity of the brain via scalp (Non-intrusive). Neurosky contemplations wave cell estimates the purposely coordinated EMG action (squint force). The robotic car will operate based on the signal received from the brain. Since, the robotic car is operated based on the eye blink direction, the disabled population will not require the care taker assistance and also they can drive the robotic car automatically without performing any manual operations.