DEVELOPMENT OF AN EOG BASED HUMAN MACHINE INTERFACE TO CONTROL A 3R ROBOT

Mechanical and Automation Engineering

To improve the quality of life of persons with severe disabilities rehabilitation devices are been developed increasingly. This paper describes one such novel technique. Usually persons suffering from extreme disabilities have the ability to control their eye movements. Electrooculography (EOG) is a technology of sensing eye signals and is used efficiently and effectively in developing bio-based human to machine interface (HMI) and human computer interface (HCI). Human to machine interfaces have received more and more attention of researchers in recent years. The described paper explains a simple electrooculography (EOG) based eye-control method to control 3R Robot. Human to machine interfaces have received more and more attention of researchers in recent years. Four electrodes are used to capture the EOG signal: two to detect horizontal movement and two to detect vertical movement. The captured signal is processed using a cost effective signal conditioning circuitry and is given as an input to the microcontroller to produce different control signals. These controls signals are transmitted using RF transmitters after encoding to the application part (receiver part). Once the commands are received, then according to the received combination (RL, LR, RR, LL, BB) the microcontroller which is programmed to drive the two servo motors of the robotic arm in required fashion moves the robotic arm up, down, left, right. An accuracy of 90% and processing speed of 5actions/min is achieved. The results show that the EOG based eyerobot system has stable performance and can be a good assistive technique for people suffering from extremely limited peripheral mobility.

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