Crowdsourcing Affective Annotations via fNIRS-BCI
Author:
Affiliation:
1. Department of Computer Science, University of Helsinki, Finland
2. University of Helsinki, Finland
3. Department of Psychology and Logopedics, University of Helsinki, Finland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Software
Link
http://xplorestaging.ieee.org/ielx7/5165369/5520654/10120958.pdf?arnumber=10120958
Cited by 4 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. Crowdsourcing with the drift diffusion model of decision making;Scientific Reports;2024-05-17
2. Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario;Frontiers in Computational Neuroscience;2024-01-24
3. Sneaky emotions: impact of data partitions in affective computing experiments with brain-computer interfacing;Biomedical Engineering Letters;2023-09-11
4. Improving fNIRS Signal Quality Using Smoothing Filtering;2023 Progress in Applied Electrical Engineering (PAEE);2023-06-26
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