Intelligent finger movement controlled interface for automotive environment

This paper presents an intelligent finger tracking system to operate infotainment systems or instrument panels in automotive environment. We developed algorithms to control an onscreen pointer using off-the-shelf infra-red sensors and reported a user study on pointing and selection tasks undertaken using the finger tracking system. We proposed polynomial models to predict probable targets and a Bayesian Fusion Model to integrate eye gaze locations of users with their finger tracks. The predictive fusion model resulted in less than 2 seconds pointing and selection times on average inside a car running on a motorway