Mind controlled robot

Brain Computer Interface (BCI) is a direct communication pathway to collect brain signals, interpret them, and output commands to a connected device. Forward-thinking organizations across industries are now looking at BCI to transform user experience in various use cases, including ensuring driver safety by tracking cognitive load, monitoring fatigue inputs, and using the data to recommend rest. Additionally, BCI enables workers to interact with a connected device using a robotic arm to navigate and operate it as an extension of their body, without juggling a controller with their hands. In this session, we demonstrate how the Brain Computer Interface (BCI) device reads brainwaves and uses machine learning to translate them into real-time control signals for a robot. We share how this device, powered by Amazon SageMaker and AWS IoT, classifies the activities in the brain and accurately translates them into action.