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Towards a New Modality Independent Interface For a Robotic Wheelchair
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Towards a New Modality - Independent Interface For a Robotic Wheelchair

Category : Robotics

Sub Category : Swarm Robot

Project Code : ITROB06

Project Abstract


This study presents a novel human–machine interface (HMI) based on both electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works in two modes: an EOG mode recognizes eye movements such as blinks, and an EEG mode detects event related potentials (ERPs) like P300. While both eye movements and ERPs have been separately used for implementing assistive interfaces, which help patients with motor disabilities in performing daily tasks, the proposed hybrid interface integrates them together. In this way, both the eye movements and ERPs complement each other. Therefore, it can provide a better efficiency and a wider scope of application. In this study, we design a threshold algorithm that can recognize four kinds of eye movements including blink, wink, gaze, and frown. In addition, an oddball paradigm with stimuli of inverted faces is used to evoke multiple ERP components including P300, N170, and VPP. To verify the effectiveness of the proposed system, two different online

experiments are carried out. One is to control a multifunctional humanoid robot, and the other is to control four mobile robots. In both experiments, the subjects can complete tasks effectively by

using the proposed interface, whereas the best completion time is relatively short and very close to the one operated by hand.













Existing System

Proposed System

    The system which used just controls the movement of the wheel chair automatically by using the keypad alone



Drawbacks of existing system:

        Ø  Paralysis people are unable use these technologies

Ø  Its take more time for processing

Ø  Complex to use

 Here different types of sensors used to control the wheel char robot. This robot mainly developed for paralysis people

Motion detection, eye blink and MEMS, sip and puff these sensors used to control the robot

Advantages of proposed system:

Ø  Flexible to use

Ø  Less processing time

Ø  It is affordable and simple

Ø  High-level spinal cord injuries to control wheel chair.

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