Brain-computer interfaces for hci and games
Author:
Affiliation:
1. University of Twente, Enschede, Netherlands
2. Microsoft Research, Redmond, WA, USA
3. University of Bremen, Bremen, Germany
4. IDIAP, Martigny, Switzerland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/1358628.1358958
Reference8 articles.
1. Brain–computer interfaces: a review
2. Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming Environment
3. Using a low-cost electroencephalograph for task classification in HCI research
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1. Brain–computer interface: trend, challenges, and threats;Brain Informatics;2023-08-04
2. SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning;Frontiers in Neurorobotics;2022-08-03
3. Brain Computer Interface: Future, Challenges, and Potential Threats;SSRN Electronic Journal;2022
4. Introduction;Intelligent Computing for Interactive System Design;2021-02-23
5. An Analysis of Engagement Levels While Playing Brain-Controlled Games;Lecture Notes in Computer Science;2020
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