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AliAmini93
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TactileNet
Developed TactileNet, the first deep-learning model designed for surface roughness recognition using EEG data. This project leverages CNNs to classify surface textures encountered through a robotic device in tactile trials.
https://ieeexplore.ieee.org/document/9827406
MIT License
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In the TactileNet architecture, how does the combination of Inception-like modules with SENet blocks contribute to feature extraction and classification accuracy in the context of EEG-based surface roughness detection, and what potential architectural optimizations could be made to balance model complexity with performance across different EEG datasets?
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WhimsicalWanderer99
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2 months ago
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