Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography

Published:2022 Issue: Volume: Page:453-468
ISSN:0302-9743
Container-title:HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments
language:
Short-container-title:

Author:

Gordienko Nikita,Rokovyi Oleksandr^ORCID,Gordienko Yuri^ORCID,Stirenko Sergii^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17618-0_32

Reference36 articles.

1. Cross-validation runs for hybrid DNNs on the preprocessed version of grasp-and-lift EEG detection dataset. https://www.kaggle.com/code/pepsissalom/crossvalidationeegdnncomparison. Accessed on 24 May 2022

2. Grasp-and-lift EEG detection dataset. https://www.kaggle.com/c/grasp-and-lift-eeg-detection/data. Accessed 24 May 2022

3. Preprocessed version of grasp-and-lift EEG detection dataset. https://www.kaggle.com/datasets/pepsissalom/eeg-by-categories. Accessed 24 May 2022

4. An, J., Cho, S.: Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks. In: 2016 International Conference on Big Data and Smart Computing (BigComp), pp. 427–429. IEEE (2016)

5. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP