Research Article

CNN-LSTM-Based Late Sensor Fusion for Human Activity Recognition in Big Data Networks

Table 7

Confusion matrix for the RealDisp Dataset using CNN-LSTM-LF.

01234567891011121314151617181920212223242526272829303132

099.20.24000000000.01000.370.010000000000000.1500000
10.0286.513.1900000.320000000000000000000000000
208.8791.100000000000000000000000000000.040
300082.814.70.9200000000.090000000000000.460.460.550000
40.050.10.415.8766.410.96.238.7000000000000000000.510.310.260.100.100.05
5000.355.193.7487.22.21.1000000000000000000.150000000.1
60.10000.10.441.4594.13.100000.050000000.2400.0500.1000.1500.050.050000
70.4600.180.730.090.182.0296.0000000000000000000.18000000.180
80000000099.80000000000000.2100000000000
900000000010000.03000000000000000000000
10000000000080.9002.410.5013.020.140.070.11000.0400002.8700000
110000000000099.7000.11000.15000000000000000
120000000.0300.1000.170.7398.90000000000.070000000000
130.09000.0400000000099.80.04000000000000000000
1400000000000000.4899.5000000000000000000
1500000000000000010000000000000000000
1600000000007.680000092.30000000000000000
170.7100000.260.320.260.13000.260000092.50000.130001.100.060004.190.06
1800000000000000000098.00.250.1500.800.7500000000
19000000000000000000099.90.05000000000000
200000000000000000000.050.198.50.630.3100.4200000000
2100000000000000000000098.601.43000000000
220000000000000000003.621.600.10094.70000000000
2300000000000000000003.150.222.78092.11.7600000000
24000000000000000000.3200.0600.830098.800000000
250.130.383.41.261.771.772.142.4000000000.130000000084.60.380.130.250.1300.880.25
261.658.122.477.764.241.5300000000.35000000000000.5971.601.650000
270.280001.58000000.120012.420.040000.042.430.040000.160082.900000
285.571.740.032.062.730.930.900.030.0300002.280005.540.030.0300.0300.0603.350.513.2865.8005.530.51
2900000000000000000000000000000100000
3000000000000000000000000000000010000
310.140.0100000000.01000000.0300000000000000099.80
3200000000000000000000000000000000100