Tu.2.1.4
DPConformer: A Dual Prototype Network for Subject Identification from Imagined Speech EEG
Yijian Pan, Xuchao Chen, Yulong Peng, Shanshan Wang, Chenyang Li, Weidong Chen, Shaomin Zhang, Qiushi Academy for Advanced Studies
Session:
Tu.2.1: Brain-Computer Interfaces and Neural Decoding Oral
Track:
Biomedical Signal Processing
Location:
Room 801B
Presentation Time:
Tuesday, 28 July, 12:15 - 12:30
Session Co-Chairs:
Michael Beyeler and Sophie Adama
Presentation
Discussion
Resources
No resources available.
Session Tu.2.1
Tu.2.1.1: Emotional State as a Confounding Factor in EEG-based BCIs: A Calibration and Adaptive Decoding Approach
Qingchen Zhai, Institute of Automation, CAS; Renren Shi, University College Dublin; Yuanyang Xiang, Weiying Wang, Chen Xu, Yueyue Wang, Kunyu Zong, Zhiwei Zhang, Institute of Automation, CAS
Tu.2.1.2: MI-EEG Classification Using Fusion of Embeddings from Multiscale-Temporal CNN & Wavelet Scattering in Transformer & Siamese Network
Rantu Buragohain, Indian Institute of Technology Jammu; Atul Kumar, GLA University; Karan Nathwani, Indian Institute of Technology Jammu; Vinayak Abrol, Indraprastha Institute of Information Technology Delhi
Tu.2.1.3: Unsupervised Geometric Alignment Enables Deployment-First Cross-Subject EEG Reward Decoding
Seyed Reza Mahmoudi, Soudeh Khoubrouy, California State University San Marcos
Tu.2.1.4: DPConformer: A Dual Prototype Network for Subject Identification from Imagined Speech EEG
Yijian Pan, Xuchao Chen, Yulong Peng, Shanshan Wang, Chenyang Li, Weidong Chen, Shaomin Zhang, Qiushi Academy for Advanced Studies
Tu.2.1.5: INFORMED BOOTSTRAP AUGMENTATION IMPROVES EEG DECODING
Woojae Jeong, Wenhui Cui, Kleanthis Avramidis, Takfarinas Medani, Shrikanth Narayanan, Richard Leahy, University of Southern California
Tu.2.1.6: Research on a Novel Multi-Class Target Recognition Brain-Computer Interface
Kun Zhao, Shuang Qiu, Yanzi Wang, Chinese Academy of Sciences, Institute of Automation; Xujin Li, University of Chinese Academy of Sciences; Wei Wei, Huiguang He, Chinese Academy of Sciences, Institute of Automation
Resources
No resources available.