Face in the Game: Using Facial Action Units to Track Expertise in Competitive Video Game Play-Reference-Cited by-同舟云学术

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Face in the Game: Using Facial Action Units to Track Expertise in Competitive Video Game Play

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Conference on Games (CoG)
language:
Short-container-title:

Author:

Guglielmo Gianluca¹,Blom Paris Mavromoustakos¹,Klincewicz Michal¹,Cule Boris¹,Spronck Pieter¹

Affiliation:

1. Tilburg University,Department of Cognitive Science and Artificial Intelligence,Tilburg,The Netherlands

Funder

Ministry of Economic Affairs

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9893561/9893544/09893599.pdf?arnumber=9893599

Reference34 articles.

1. Engagement detection in online learning: a review

2. Neural mechanisms mediating association of sympathetic activity and exploration in decision-making

3. SMOTE: Synthetic Minority Over-sampling Technique

4. Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation

5. Toward a Psychology of Optimal Experience

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiplayer Tension In the Wild: A Hearthstone Case;Proceedings of the 18th International Conference on the Foundations of Digital Games;2023-04-12

2. A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross-Validation in Imbalanced Learning;Sensors;2023-02-20

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