Research Article
Toward a Brain-Computer Interface- and Internet of Things-Based Smart Ward Collaborative System Using Hybrid Signals
Table 5
Comparison with other BCI systems.
| Publication | Mode (s) | ACC (%) | ITR (bit/min) | FOR (event/min) |
| He and Li [37] | EOG | 93.02 | 45.83 | — | Huang et al. [23] | EOG | 91.7 | 48.8 | 0 | Kubacki [15] | EEG + EOG | 90.0 | — | — | Chen et al. [16] | EEG + CV | 94.0 | 14.21 | — | Zhang et al. [45] | EEG | 89.9 | 23.2 | — | Zhou et al. [46] | EEG | 92.8 | ≤26.3 | ≥6.71 | Zhang et al. [24] | EOG | 93.6 | 26.8 | — | Shao et al. [44] | EEG + EOG | 95.42 | 105.5 | 0.80 | Zhang et al. [47] | EEG | 91.7 | ≤23.8 | ≥1.75 | Our system | EEG + EOG + Gyro | 96.7 | 53.42 | 0.89 |
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— denotes not reported The value was calculated from the results reported by the authors. |