Back to results

University of Nevada, Reno

Mood Detection in IGT Gaming Machines

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Computer Science and Engineering
Level thesis:degree_level
Honors Thesis
Grantor
University of Nevada, Reno
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Herpolsheimer, Brandon
Advisor dc:contributor.advisor
  • Dascalu, Sergiu M.

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en_US, English

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11714/3496
OAI identifier oai:identifier
oai:scholarwolf.unr.edu:11714/3496

Chain of custody

source
Harvested from
University of Nevada - Reno
Base URL
scholarwolf.unr.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Herpolsheimer, Brandon. Mood Detection in IGT Gaming Machines. Honors Thesis thesis, University of Nevada, Reno, 2018. http://hdl.handle.net/11714/3496