Classification of six sound categories using functional near-infrared spectroscopy-Reference-Cited by-同舟云学术

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Classification of six sound categories using functional near-infrared spectroscopy

Published:2022-05-04 Issue: Volume: Page:
ISSN:
Container-title:2022 13th Asian Control Conference (ASCC)
language:
Short-container-title:

Author:

Yoo So-Hyeon¹,Hong Keum-Shik¹

Affiliation:

1. Pusan National University,Department of Mechanical Engineering,Busan

Funder

Korea Institute of Energy Technology Evaluation and Planning

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828005/9828007/09828295.pdf?arnumber=9828295

Reference49 articles.

1. Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface

2. Multimodal classification of Alzheimer's disease and mild cognitive impairment

3. Online binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interface

4. An fNIRS-Based Feature Learning and Classification Framework to Distinguish Hemodynamic Patterns in Children Who Stutter

5. Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces;hong;Front Hum Neurosci,2018

Cited by 1 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. Investigating the relationship between CSAT scores and prefrontal fNIRS signals during cognitive tasks using a quantum annealing algorithm;Scientific Reports;2024-08-26

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