Figure 6 | Scientific Reports

Figure 6

From: Bayesian learning from multi-way EEG feedback for robot navigation and target identification

Figure 6

Speed and accuracy trade-off. MNS and PTCI results at various stringency values, from 0.1 (lowest point of each line on both axes) to 0.9 (highest point of each line on both axes). Lower MNS represents greater speed. Higher PTCI represents greater accuracy. Bold, solid lines represent data generated using the proposed Bayesian inference system (with 4-way movement classification, and TI classification, here abbreviated to “TIC”). Dashed lines represent data generated using a system without target identification classification. Dotted lines represent data generated using a system with binary movement classification (i.e. correct versus error). Blue lines represent data from the small, 9\(\times\)1 grid. Red lines represent data from the large, 20\(\times\)20 grid. All lines show average results across all participants.

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