EYE BLINK BASED KEYBOARD

EYE BLINK BASED KEYBOARD

1PATIL S N, 2SIDDESH K T, 3KOTRU SWAMY S M

[1]  STUDENT, DEPARTMENT OF MCA, BIET, DAVANGERE

[2] ASSISTANT PROFESSOR, DEPARTMENT OF MCA, BIET, DAVANGERE

[3] ASSISTANT PROFESSOR, DEPARTMENT OF MCA, BIET, DAVANGERE

ABSTRACT

The Eye Blink-Based Keyboard represents a significant advancement in assistive technology, leveraging artificial intelligence (AI) to facilitate communication for individuals with severe physical disabilities. This innovative system interprets eye blinks as input commands, enabling users to type and interact with digital devices without the need for traditional keyboard interfaces. Utilizing computer vision and machine learning algorithms, the system accurately detects and distinguishes between intentional eye blinks and involuntary movements. By mapping these blinks to specific keyboard functions, users can compose text, navigate applications, and perform various tasks with minimal effort. The system's design prioritizes ease of use, accessibility, and real-time responsiveness, ensuring that it can accommodate a wide range of users with different needs and abilities. Initial testing and user feedback highlight the system's potential to significantly enhance communication capabilities and improve the quality of life for individuals with mobility impairments. This paper details the underlying technologies, design considerations, implementation process, and preliminary evaluation results, underscoring the Eye Blink-Based Keyboard's role in advancing accessible technology solutions.

Keywords: Eye blink detection, assistive technology, artificial intelligence, computer vision, machine learning, accessibility, human-computer interaction.