Brain Controlled Robotic Car Using Mind Wave

In this paper, Mind Wave technology based brain-controlled robotic car is implemented. The objective is to create an innovative human machine interface, enabling users to control the cars movements seamlessly through their brain signals and facial movement. The Mind Wave headset, equipped with EEG sensors, captures and interprets the users brainwave pattern, translating them into specific commands for the robotic car. The system integrates real time signal processing algorithms to extract relevant features from the EEG data, mapping them to predefined control commands for the robotic car. A comprehension control architecture is established to facilitate smooth navigation, including forward, backward, left, and right movements Additionally, advanced features such as speed modulation and obstacle avoidance are implemented to enhance the user experience and ensure safety. Furthermore, the work explores the challenges and limitations of the proposed brain-controlled robotic car system, addressing issues related to signal noise,user training,and the adaptability of the technology.Future directions for improvement and expansion of the system are discussed, aiming to refine the interface, increase responsiveness, and broken the range of supported commands.