Results Regarding an Eog-Based Assistive Wireless Robot Control System with Visual Feedback
Results Regarding an Eog-Based Assistive Wireless Robot Control System with Visual Feedback

Summary/Abstract: In this paper a novel wearable human computer interface (HCI) for an omnidirectional robot controlling interface with visual feedback will be described. The setup is employing electrooculographyc (EOG) biosignals recorded near the human operator’s eyes and are used to control the employed robot through Matlab® and LabVIEW®. The setup contains a Wi-Fi-based control signal issuing sub-part that is transmitting the commands to the robot. The user should be able to control the movements of the robot in the house and also can see where the robot is heading. A total of five low-level navigation commands are transmitted to the robot (“go backward”, “go forward”, “stop”, “turn left” and “turn right”) by the developed asynchronous HCI. This indoor navigation vehicle can be used by people with several types of neurodegenerative disease or high-level spinal cord injury caused by accident, which can hinder them to walk or to control a robot or wheelchair by using a computer’s keyboard or mouse or joystick. The setup has in its component an industrial National Instrument’s (NI) NI-9234 analog to digital converter (ADC), with 24 bit resolution per input channel. Intranet is used by the setup and it consists of two computers: on the first computer is running the LabVIEW® Robotics and MATLAB®; the second part is a laptop, connected through Wi-Fi to an action camera, which is placed on the robot. On the laptop’s screen can be seen where the robot is in real-time. This experimental application can be an alternative way to communicate and it can be used in the healthcare, assistive robotics and even rehabilitation domains.

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