From: A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition
New fast retraining | Previous retraining | |
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AB subjects (772 windows for each class, 7 classes, 6 channels, 4 features per channel) | \( {\tilde{\mu}}_g \):(6 × 4) × 4 bytes = 96 bytes; | Total size of the feature matrix: |
\( \tilde{\varSigma} \) : (6 × 4) × (6 × 4) × 4 bytes = 2304 bytes; | (6 4) × 772 × 7 × 4 bytes = 518784 bytes | |
Total: 96 × 7 + 2304 = 2976 bytes = 2.9 Kbytes | = 506.6 Kbytes | |
TR1 subject (772 windows for each class, 5 classes, 6 channels, 4 features per channel) | \( {\tilde{\mu}}_g \):(6 × 4) × 4 bytes = 96 bytes; | Total size of the feature matrix: |
\( \tilde{\varSigma} \) : (6 × 4) × (6 × 4) × 4 bytes =2304 bytes; | (6 × 4) × 772 × 5 × 4 bytes = 370560 bytes | |
Total: 96 × 5 + 2304 = 2784 bytes = 2.7 Kbytes | = 361.9 Kbytes |