With the COVID-19 pandemic still causing the world to be quarantined in their house to prevent the spread of the virus, this means online classes are still the main method of conducting classes. This project aims to help lecturers monitor the students during class as they are having problems checking whether the students are paying attention or not. This project uses the student’s facial features to determine their attention level using two different coding algorithm Viola-Jones and Sobel edge. These two algorithms help to determine what kind of facial expression that the students are making. The Viola-Jones algorithm detects and captures the student’s facial features such as eyes and mouth while the Sobel edge algorithm detects the edges of the facial features to determine whether the eyes and mouth are open or closed. With the data collected it will run through the database to determine the student’s attention level and inform the lecturer.

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DescriptionSubway Stories is an interactive storytelling installation first presented at New York University. The experience begins with a projection of an animated subway car. The train is filled with passengers-illustrations of real-life commuters drawn on subway rides across New York City. A physical "conductor's box" gives users control of where the projection is focused. One handle controls the train's speed, and the other handle controls the camera zoom. The audience hears the thoughts and sounds of the passenger in focus. Zooming into specific characters triggers their "stories"-audio narrations recorded to capture the inner lives of each passenger. Subway Stories,