Recognition of Human's Implicit Intention Based on an Eyeball Movement Pattern Analysis

We propose a new approach for a human's implicit intention recognition system based on an eyeball movement pattern analysis. In this paper, we present a comprehensive classification of human's implicit intention. Based on Bernard's research, we define the Human's implicit intention as informational and navigational intent. The intent for navigational searching is to locate a particular interesting object in an input scene. The intent for informational searching is to locate interesting area concerning a particular topic in order to obtain information from a specific location. In the proposed model, eyeball movement pattern analysis is considered for classifying the two different types of implicit intention. The experimental results show that the proposed model generates plausible recognition performance using a fixation length and counts with a simple nearest neighborhood classifier.