Brain–Computer Interface Technologies in the Coming Decades
Lance, B. J., Kerick, S. E., Ries, A. J., Oie, K. S., McDowell, K.·2012·Proceedings of the IEEE
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- Performance of conformable, dry EEG sensorsJ. Cortney Bradford, Benjamin Burke, Christina Nguyen, Geoffrey A. Slipher, Randy A. Mrozek, David Hairston · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Transfer Learning for Brain-Computer Interfaces: A Complete PipelineDongrui Wu, Ruimin Peng, Jian Huang, Zhigang Zeng · 2020 · arXiv (Cornell University)
- CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain–computer interfacesGuoqing Cai, Yiyi Chen, Bolun Yang, Yanwu Yang, Ting Ma, Yilong Wang · 2025 · Neural Networks
- Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset LearningJonathan R. McDaniel, Stephen M. Gordon, Vernon J. Lawhern · 2020 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
- A novel dual-step transfer framework based on domain selection and feature alignment for motor imagery decodingGuanglian Bai, Jing Jin, Ren Xu, Xingyu Wang, Andrzej S Cichocki · 2024 · Cognitive Neurodynamics
- Assessment of Task Engagement using Brain Computer Interface TechnologyPaul J. McCullagh, Gaye Lightbody, Leo Galway, Chris Brennan, Trainor David · 2015 · Ambient intelligence and smart environments
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- A Multi-Scale Attention-Based Reconstruction Fusion Network for Motor Imagery ClassificationLina Qiu, You Zhi Hu, Minjin Wu, Baiqiang Long, T. L. Chen, Jiahui Pan · 2026 · IEEE Journal of Biomedical and Health Informatics
- Convolutional neural network with binary moth flame optimization for emotion detection in electroencephalogramTabarek Alwan Tuib, Baydaa Hadi Saoudi, Yaqdhan Mahmood Hussein, Thulfiqar H. Mandeel, Fahad Taha AL‐Dhief · 2023 · IAES International Journal of Artificial Intelligence
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- Biosensor Technologies for Augmented Brain-Computer Interfaces in the Next Decades This paper focuses on recent and projected advances of a wide range of sensor and acquisition neurotechnologies enabling online brain-signal processing in everyday, real-life environments, and highlights current and future approaches to address the challenges in this field.Lun‐De Liao, Chin‐Teng Lin, Kaleb McDowell, Alma E. Wickenden, Klaus Gramann, Tzyy‐Ping Jung, Li‐Wei Ko, Jyh‐Yeong Chang · 2012
- Evolving Signal Processing for Brain-Computer Interfaces This paper discusses the challenges associated with building robust and useful BCI models from accumulated biological knowledge and data, and the technical problems associated with incorporating multimodal physiological, behavioral, and contextual data that may become ubiquitous in the future.Scott Makeig, Christian Andreas Kothe, Tim R. Mullen, Nima Bigdely-Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado · 2012