Abstract: Disclosed herein are methods and system for eye-gaze location detection and accurate collection of eye-gaze data from low resolution, low frame rate cameras. The method includes calibrating a machine learning model by constraining an area of interest to a single axis. Presenting to the user one or more lines of words and/or images on a screen, capturing by a camera one or more images of the user's eye-gaze, looking at said lines of words and/or images, applying the calibrated machine learning model on the one or more images of the user's eye-gaze, constraining the area of interest to a single-axis, and detecting an eye-gaze location on the screen with a word-level accuracy. The method further includes combining eye-gaze and audio data collection by measuring a time difference between a first timestamp of a word eye-gaze location detection and a second timestamp of the word first phoneme pronunciation by a user.

Abstract: Provided herein are computer implemented methods and systems for interactively teaching or improving language skills of users, by generating a visually connected sequence of images, based on various input form the user, including, a selection of a persona and activity, and a language demonstration that describes the selected activity.

Abstract: Disclosed herein are methods and system for eye-gaze location detection and accurate collection of eye-gaze data from low resolution, low frame rate cameras. The method includes calibrating a machine learning model by constraining an area of interest to a single axis. Presenting to the user one or more lines of words and/or images on a screen, capturing by a camera one or more images of the user's eye-gaze, looking at said lines of words and/or images, applying the calibrated machine learning model on the one or more images of the user's eye-gaze, constraining the area of interest to a single-axis, and detecting an eye-gaze location on the screen with a word-level accuracy. The method further includes combining eye-gaze and audio data collection by measuring a time difference between a first timestamp of a word eye-gaze location detection and a second timestamp of the word first phoneme pronunciation by a user.