An assistive HCI system based on block scanning objects using eye blinks

TL;DR

This paper introduces a hands-free assistive HCI system that uses eye blinks and block scanning to enable people with motor impairments to interact with computers effectively, achieving high accuracy and success rates.

Contribution

It presents a novel eye blink-based block scanning interface for assistive communication, tested with users to demonstrate its effectiveness.

Findings

Success rate of 98.1% in user tests

Average selection time of 1.0 second

High accuracy and low false alarm rate

Abstract

Human-Computer Interaction (HCI) provides a new communication channel between human and the computer. We develop an assistive system based on block scanning techniques using eye blinks that presents a hands-free interface between human and computer for people with motor impairments. The developed system has been tested by 12 users who performed 10 common in computer tasks using eye blinks with scanning time 1.0 second. The performance of the proposed system has been evaluated by selection time, selection accuracy, false alarm rate and average success rate. The success rate has found 98.1%.