TransNN-MHA: A Transformer-Based Model to Distinguish Real and Imaginary Motor Intent for Assistive Robotics
Accurately distinguishing between real and imagined motor intent is a fundamental challenge in assistive robotics, as it directly affects human-machine interfaces’ (HMIs) ability to effectively interpret user intent. This distinction is particularly critical for individuals with disabilit...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10990212/ |
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