Automated Wheelchair with Speech Recognition Module Incorporated with Obstacle Detector to Enable Commotion for Partially Paralyzed People

Abstract

 Automation or Automatic control is an emerging technology that has already found successful application in a variety of different fields, including simulation, training and education. Various control systems are used to operate an equipment. Loss of muscle function in any part of the body or in the whole body is known as Paralysis. It happens when communication between the brain and muscles get interrupted. Either one side or whole of the body can get paralyzed i.e. it can be complete or partial. It can also be localized in one area or it could widespread. If lower portion of the body including both the legs get paralyzed it is called paraplegia. Paralysis of the limbs i.e. the legs and arms is called quadriplegia. So for patients with both forms of paralysis, this paper proposes a wheelchair with speech recognition and safety measures. The main essence behind the project is to control the wheelchair with voice and also keeping the safety measures in place. A dependent user recognition voice system and ultrasonic and infrared sensor system has been integrated in this Wheelchair. The wheelchair's wheels will be controlled by electric motors. The input will be the voice of the patient and given to the speech recognition unit. His\ Her voice is processed and the necessary changes in the wheels are made. The wheelchair also has an obstacle detection mechanism. And also the distance of the floor from the wheelchair is sensed using proximity sensors so as to avoid accidents such as staircase fall.