Project Description

Reading the mind: Detecting players’ emotions with a regular camera

To measure a player’s emotional state or behavior during play sessions is a difficult process and the most common methods used to obtain data for emotion estimation in the fields of human-computer interaction and games research are questionnaires and physiological measurements. Both approaches interfere with the natural behavior of the player, which affects the research procedure and ultimately the outcome of the study.

Researchers at the University of Skövde are currently developing a software that can fix this problem by remotely monitoring a player’s heart rate and facial features using a single camera. The purpose of the software is to help game designers and researchers to better analyze player behaviors and to more accurately evaluate their games. The software aims to provide the human-computer interaction and the games research communities with an emotion detection process in which games and user emotions and behaviors can be studied in a non-intrusive way.

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GHS-facial-tracking-report