基于可穿戴式脑磁图的视觉混合脑机接口研究
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王晨旭, 郭旭, 王慧, 张欣, 常严, 郭清乾, 胡涛, 冯晓宇, 杨晓冬
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Study of Visual Hybrid Brain-Computer Interface Based on Wearable Magnetoencephalogram
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WANG Chenxu, GUO Xu, WANG Hui, ZHANG Xin, CHANG Yan, GUO Qingqian, HU Tao, FENG Xiaoyu, YANG Xiaodong
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表1 不同数据长度时分类准确率(平均正确率±标准误)/%
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Table 1 Classification accuracy with different data lengths (Mean±SEM)/%
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分类方法 | 数据长度 | 1 s | 2 s | 3 s | 4 s | 5 s | UD-SVM(2) | 94.13±1.26 | 94.50±1.45 | 95.63±1.45 | 95.38±1.66 | 96.38±1.42 | UD-TRCA(2) | 52.88±2.47 | 52.38±2.31 | 57.75±2.62 | 54.50±2.37 | 57.50±2.58 | UD-EEGNet(2) | 95.63±1.59 | 97.50±1.07 | 93.88±1.97 | 93.00±2.22 | 93.75±2.24 | UI-SVM(2) | 81.63±3.67 | 82.50±3.95 | 83.50±3.90 | 83.13±3.86 | 83.50±4.07 | UI-TRCA(2) | 49.13±1.56 | 51.50±1.72 | 55.38±2.27 | 54.00±1.72 | 55.63±1.72 | UI-EEGNet(2) | 83.13±3.28 | 85.25±3.35 | 85.13±3.40 | 85.50±3.35 | 86.13±3.38 | CCA(4) | 49.44±2.50 | 75.81±3.16 | 87.13±2.37 | 92.00±1.73 | 93.56±1.64 | UD-TRCA(4) | 89.19±1.81 | 96.25±1.09 | 97.50±0.88 | 98.19±0.85 | 99.00±0.43 | UD-EEGNet(4) | 88.56±2.07 | 88.69±2.60 | 95.69±1.28 | 96.75±1.19 | 97.63±1.07 | UI-TRCA(4) | 56.44±2.47 | 59.06±3.16 | 61.69±3.92 | 63.63±4.20 | 67.31±4.02 | UI-EEGNet(4) | 67.50±2.99 | 79.31±3.27 | 82.25±3.56 | 85.25±3.48 | 88.13±3.23 | UD-TRCA(6) | 65.00±1.66 | 71.71±1.23 | 73.92±1.29 | 73.88±1.29 | 75.33±1.18 | UD-EEGNet(6) | 81.10±2.16 | 88.04±1.48 | 90.42±1.31 | 91.67±1.50 | 93.29±1.69 | UI-TRCA(6) | 37.54±1.74 | 40.29±2.57 | 44.08±2.95 | 45.71±3.05 | 48.54±3.21 | UI-EEGNet(6) | 52.67±2.33 | 62.37±3.00 | 73.63±3.02 | 78.71±2.73 | 81.75±2.75 |
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