Detecting viewer interest in video using facial and heart rate responses

This project investigates different methodologies to understand and quantify interest and engagement evoked in viewers. Interest is difficult to measure due to its subtleness, dependence over personal preference and viewed content. This project uses machine intelligence to measure interest in response to sports and movie videos. The findings of this project can be applied and extended in several fields including but not limited to teaching and learning, multimedia, and human computer interaction