Eye Tracking for Natural Language Processing: Human Eye Movements patterns have been studied by psycholinguistics and computer linguistics to understand the cognitive aspects of natural language processing. For this, they often record the eye movements and find common trends that reflect the linguistic subtleties of text and are not prone to subjectivity. Thus it is required to engender method to find consensus eye movements.
Disambiguated the sense of ambiguous word (word having multiple meanings) based on the context it is used. In Information Retrieval systems we need to find the correct meaning of a word in a query to retrieve relevant documents.
Classified over 5000 images from 7 different categories. Extracted features by wavelet transform and trained an Artificial Neural Network.
In this study, we tried to determine peculiar features in images during visualization by doing some computation on scanpath data and converting it in some meaningful form.
Analysis of Eye Gaze Scanpath Data: Eye Movements are now widely used to investigate cognitive processes during reading. In this study, we tried to analyze the scan path data of different users.
Clicked faces of few of my batch mates and trained a model to recognize them.