Intention recognition has been paid much attention on by researchers in intelligent systems recent years because it can make the interaction between human and intelligent agents to be more convenient. Intention recognition can use multiple factors as inputs such as gestures, face images and eye gaze position. In this paper, we propose user's eye gaze estimation position as input of a fuzzy system to achieve intention recognition. Our approach can be divided into two parts: user gaze estimation and intention recognition. In the user gaze estimation part, neural network has been used as the decision making unit, and then the user gaze position at the computer screen is estimated. In the intention recognition part, the intention is recognized by using of a fuzzy system after an initial intention region set has been found. An illustrative example of user's intention region recognition is given and discussed in details.
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Human intention recognition via eye tracking based on fuzzy inference
Semantic Scholar · Computer Science · 2012
Abstract
Intention recognition has been paid much attention on by researchers in intelligent systems recent years because it can make the interaction between human and intelligent agents to be more convenient. Intention recognition can use multiple factors as inputs such as gestures, face images and eye gaze position. In this paper, we propose user's eye gaze estimation position as input of a fuzzy system to achieve intention recognition. Our approach can be divided into two parts: user gaze estimation and intention recognition. In the user gaze estimation part, neural network has been used as the decision making unit, and then the user gaze position at the computer screen is estimated. In the intention recognition part, the intention is recognized by using of a fuzzy system after an initial intention region set has been found. An illustrative example of user's intention region recognition is given and discussed in details.