Facial Movement and Voice Recognition Based Mouse Cursor Control

Some individuals with illnesses face difficulties in using laptops. However, there is a technique available that can be easily accessed by physically challenged individuals. Instead of relying on traditional hardware and software, this method utilizes the human eye and voice as alternative means of operating a laptop. To achieve this, a network protocol camera captures an image of the eye, enabling cursor movement. The proposed technique involves eye tracking using the Eye Aspect Ratio (EAR) and a simple circuitry. Additionally, speech recognition is employed to convert speech signals into commands, facilitating natural voice communication. This system proves highly advantageous in addressing the challenges faced by individuals with disabilities.