Controlling a Wheelchair Through Head Movement Through Artificial Vision and Using Speech Recognition

The Purpose of this project is the control of motion and direction in real time of a wheel chair, using machine vision algorithms. The main goal of this project is signal acquisition from the video camera and collision sensors for post processing in the C# algorithms and later obtaining motor control in the traction mechanism of the wheelchair. The C# algorithm has several tasks. The first is to obtain the real time image from web cam and later processing for the identification of the direction of movement of the human face. The second is to calculate the speed of the movement for generation of the PWM output for motor movement. This information output uses the RS232C driver with a microcontroller card attached to a motor control box in the wheel chair mechanism. The final task is to obtain the collision sensor status for security implementation, all in real time. The main reason for development of an implementation of this solution is the use of open source software tools for a more stable platform in the base system due to the characteristics of the end use of the system. The end user of the system will be a quadriplegic.