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Table 2 Offline and real-time results

From: BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms

  Offline   Real-time
  Classification of Training Accuracy   Selection Completion Completion Accuracy
  testing sets (ms) time (s) (%)   time (s) time (s) rate (%) (%)
LDA 1.03 (±0.018) 0.125 (±0.002) 92.1 (±4)   0.622 (±0.24) 1.86 (±0.31) 87.3 (±11) 67.1 (±10)
MLP 0.58 (±0.003) 164.1 (±52.06) 91.2 (±5)   0.807 (±0.27) 2.18 (±0.32) 75.8 (±13) 60.9 (±8.8)
RFN 1.49 (±0.012) 0.552 (±0.007) 83.8 (±9)   0.627 (±0.22) 1.89 (±0.30) 78.0 (±12) 67.4 (±10)
  1. Performance summary of each classifier in predicting 11 movements in 17 subjects (offline) and 15 subjects (real-time).