图共 5个 表共 4
    • 图  FIG. 384.  FIG. 384.

      Figure FIG. 384..  FIG. 384.

    • 图  1  3D-CNN网络结构

      Figure 1.  Network structure of 3D-CNN

    • 图  2  Word2Vec+CNN网络结构

      Figure 2.  Network structure of Word2Vec+CNN

    • 图  3  多模态模型框架图

      Figure 3.  Framework of multi-modal model

    • 图  4  不同模态特征组合的ROC图

      Figure 4.  ROC diagram of combination of different modal features

    • ModelAccuracy/%
      CNN84.80
      L-SVMH+C98.88

      表 1  不同分类模型对测试集的客观评价指标对比

      Table 1.  Comparison of objective evaluation indicators of different classification models on test sets

    • ModelAccuracy/%
      DT[7]75.2
      Heart rate+Video(L-SVMC)81.32
      Heart rate+Video(L-SVMH+C)82.23
      Heart rate+Text(L-SVMC)96.11
      Heart rate+Text(L-SVMH+C)97.19
      Heart rate+Text+Video(L-SVMH+C)98.51

      表 2  留一法的客观评价指标对比

      Table 2.  Comparison of objective evaluation indicators of leave-one-out cross-validation

    • ModelAccuracy/%
      DEV[24]84.16
      Heart rate+Video(L-SVMC)78.10
      Heart rate+Video(L-SVMH+C)83.70
      Heart rate+Text(L-SVMC)96.80
      Heart rate+Text(L-SVMH+C)97.70
      Heart rate+Text+Video(L-SVMH+C)98.30

      表 3  随机抽取方式的客观评价指标对比

      Table 3.  Comparison of objective evaluation indicators of random extraction method

    • ModelAccuracy/%AUC
      LR[19]-0.922 1
      MLP (Static)[23]90.990.934 8
      MLP](Non-static)[23]96.140.979 9
      Heart rate+Video(L-SVMC)71.220.716 0
      Heart rate+Video(L-SVMH+C)73.460.730 0
      Heart rate+Text(L-SVMC)95.570.955 6
      Heart rate+Text(L-SVMH+C)96.890.968 3
      Heart rate+Text+Video(L-SVMH+C)98.880.988 3

      表 4  10折交叉验证方式的客观评价指标对比

      Table 4.  Comparison of objective evaluation indicators of ten-fold cross-validation method