International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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Design and Development of an EOG-based System to Control Electric Wheelchair for People Suffering from Quadriplegia or Quadriparesis

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Design and Development of an EOG-based System to Control Electric Wheelchair for People Suffering from Quadriplegia or Quadriparesis

 

                                       1Mrs.S.Usha , 2M.Nithish , 3B.Padmesh , 4M.Sivaganesh

                                                                     1Assistant Professor, 2,3,4 Student

                        Department of Electronics and Communication Engineering

                                     Paavai Engineering College, Namakkal,637018

s.ushasp1@gmail.com,nithishsmart39@gmail.com,padmeshbalaji179@gmail.com,msivaganesh0202@gmil.com

 

 

Abstract— Even in this modern day, it is very difficult for physically challenged people to move from one place to other without others help. To give them an independent feel, a smart eye controlled system is provided. A novel design of an embedded cardio-respiratory monitoring system for wheelchair users is proposed. This system gets the input from from eye. The movement of the wheel chair will be controlled by these inputs. Depending on these input the wheel chair will move forward, left, right or backward. With the help of this system the user can move independently without others help. It also included with obstacle detection system to ensure the safety for the user. If any obstacle is detected then the indication can be given with the help of LCD.The entire system is composed of a sensor node, and a cloud server. The former is used to obtain continuous vital-sign signals, and the latter processes the sampled signals to estimate the temperature level, implemented in an embedded system to achieve a fully integrated radar system. This is used to sense the movement of the eye ball’s direction using eye ball sensor (Straight Command, Left/Right Command, Stop Command). The system is cost effective and thus can be used by patients spread over a large economy range

 

Keywords-LCD,  Arduino, DC motor, eyeball sensor, Wheelchair.


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