This project was carried out in 2019 toghether with Niki Di Costanzo.
- allow video playback
- detect users facial expressions when viewing videos
- suggest feelings to the user based on what has been detected
- save the feeling detected and the user's response in a database (associating the relative time moment of the video)
- allow access to multiple sessions
- allow the visualization of the statistics of each video and the download of its json file
- emotion: contains the code to detect facial expressions. Triggered via an Ajax call after pressing the play button. This view saves in a session variable (emotion) the average of the emotions detected every 10 seconds.
- emotionReading: allows the exchange of information with javascript (video_detail.js), in particular to pass the detected emotions. This is done through the use of a json file (dictionary).
- videoDet: allows you to view a specific video.
- saveStat: updates the database by adding a row in the Statistics model. It is called when the user answers a question.
- getStat: allows you to view the contents of the Statistics model.
