ST-CapsNet: Linking Spatial and Temporal Attention With Capsule Network for P300 Detection Improvement
A brain-computer interface (BCI), which provides an advanced direct human-machine interaction, has gained substantial research interest in the last decade for its great potential in various applications including rehabilitation and communication. Among them, the P300-based BCI speller is a typical a...
Saved in:
| Main Authors: | Zehui Wang, Chuangquan Chen, Junhua Li, Feng Wan, Yu Sun, Hongtao Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10018278/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
FR-CapsNet: Enhancing Low-Resolution Image Classification via Frequency Routed Capsules
by: Hasindu Dewasurendra, et al.
Published: (2025-01-01) -
Using Segmentation to Boost Classification Performance and Explainability in CapsNets
by: Dominik Vranay, et al.
Published: (2024-06-01) -
SE-CapsNet: Automated evaluation of plant disease severity based on feature extraction through Squeeze and Excitation (SE) networks and Capsule networks
by: Shradha Verma, et al.
Published: (2021-12-01) -
Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS
by: Yu Li, et al.
Published: (2024-12-01) -
ResCapsnet: a capsule network with CRAM and BiGRU for sound event detection
by: Bing Sun, et al.
Published: (2025-06-01)