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Mood Detection in IGT Gaming Machines
Date
2018Type
ThesisDepartment
Computer Science and Engineering
Degree Level
Honors Thesis
Degree Name
Computer Science and Engineering
Abstract
The Mood Detection in IGT Gaming Machines System is a piece of software that
takes facial inputs in the form of image data and sorts those inputs into a set of moods, all
in a manner that allows it to be integrated into gaming machines built by International
Game Technology (IGT). To expand on the level of interaction that is had with the
player, mood-detection has been implemented to obtain data about their mood in realtime.
This provides information that can be used to enhance the player experience. This
project aims to provide features of mood detection that will enable both real-time
adjustments to a player’s gaming experience and options for offline data analytics. The
motivation behind integrating mood-detection into gaming machines is to allow those at
IGT to analyze what makes a game interesting and add a new layer of interaction
between the player and machine, increasing both player enjoyment and player retention.
Permanent link
http://hdl.handle.net/11714/3496Additional Information
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