Research Article
Gesture Recognition from Data Streams of Human Motion Sensor Using Accelerated PSO Swarm Search Feature Selection Algorithm
Table 4
The performance results of classifying sensor data using incremental algorithms.
| Incremental classifier/feature selection | Accuracy | Kappa | TP | FP | Precision | Recall | -measure | Model building time (s) | Preprocessing time (s) | # selected features |
| Random Hoeffding tree (RHT) | | | | | | | | | | | Original | 61.1589 | 0.4226 | 0.612 | 0.158 | 0.607 | 0.612 | 0.589 | 0.02 | 0 | 50 | Cfs | 57.0281 | 0.3233 | 0.57 | 0.245 | 0.522 | 0.57 | 0.523 | 0.01 | 0 | 23 | FS-PSO | 72.8055 | 0.5749 | 0.728 | 0.143 | 0.658 | 0.728 | 0.68 | 0.01 | 5 | 24 | FS-APSO | 74.4119 | 0.5923 | 0.744 | 0.142 | 0.665 | 0.744 | 0.681 | 0.01 | 5 | 16 | Hoeffding tree (HT) | | | | | | | | | | | Original | 75.6741 | 0.6309 | 0.76 | 0.113 | 0.725 | 0.76 | 0.735 | 0.35 | 0 | 50 | Cfs | 76.2478 | 0.6402 | 0.763 | 0.103 | 0.735 | 0.763 | 0.745 | 0.08 | 0 | 23 | FS-PSO | 67.9289 | 0.5569 | 0.719 | 0.153 | 0.669 | 0.719 | 0.677 | 0.03 | 16 | 16 | FS-APSO | 76.7068 | 0.6457 | 0.767 | 0.104 | 0.739 | 0.767 | 0.747 | 0.03 | 15 | 15 | Hoeffding option tree (HOT) | | | | | | | | | | | Original | 66.2077 | 0.5262 | 0.662 | 0.085 | 0.732 | 0.662 | 0.68 | 0.2 | 0 | 50 | Cfs | 69.5927 | 0.5674 | 0.696 | 0.081 | 0.742 | 0.696 | 0.706 | 0.04 | 0 | 23 | FS-PSO | 77.7395 | 0.6657 | 0.777 | 0.09 | 0.763 | 0.777 | 0.762 | 0.02 | 11 | 13 | FS-APSO | 78.8296 | 0.6856 | 0.788 | 0.077 | 0.788 | 0.788 | 0.782 | 0.02 | 10 | 13 | NBUpdateable (NBup) | | | | | | | | | | | Original | 66.3798 | 0.5281 | 0.664 | 0.085 | 0.733 | 0.664 | 0.682 | 0.07 | 0 | 50 | Cfs | 69.5927 | 0.5676 | 0.696 | 0.08 | 0.743 | 0.696 | 0.706 | 0.02 | 0 | 23 | FS-PSO | 76.9363 | 0.6588 | 0.769 | 0.082 | 0.768 | 0.769 | 0.764 | 0.01 | 9 | 15 | FS-APSO | 78.7149 | 0.6835 | 0.787 | 0.079 | 0.785 | 0.787 | 0.78 | 0.01 | 12 | 12 | Active (AC) | | | | | | | | | | | Original | 67.7567 | 0.5387 | 0.678 | 0.092 | 0.719 | 0.678 | 0.694 | 0.17 | 0 | 50 | Cfs | 69.2484 | 0.5554 | 0.692 | 0.092 | 0.718 | 0.692 | 0.702 | 0.12 | 0 | 23 | FS-PSO | 68.0436 | 0.5342 | 0.68 | 0.105 | 0.703 | 0.68 | 0.689 | 0.17 | 55 | 18 | FS-APSO | 70.2238 | 0.5647 | 0.702 | 0.095 | 0.72 | 0.702 | 0.709 | 0.14 | 50 | 20 | Adwin (AW) | | | | | | | | | | | Original | 72.9776 | 0.6035 | 0.73 | 0.091 | 0.735 | 0.73 | 0.731 | 1.55 | 0 | 50 | Cfs | 73.3792 | 0.6101 | 0.734 | 0.088 | 0.74 | 0.734 | 0.732 | 0.44 | 0 | 23 | FS-PSO | 70.0516 | 0.5566 | 0.701 | 0.118 | 0.71 | 0.701 | 0.698 | 0.47 | 176 | 13 | FS-APSO | 74.5267 | 0.619 | 0.745 | 0.099 | 0.743 | 0.745 | 0.732 | 0.38 | 142 | 10 | Kstar | | | | | | | | | | | Original | 82.1572 | 0.734 | 0.822 | 0.085 | 0.834 | 0.822 | 0.818 | 0 | 0 | 50 | Cfs | 90.0746 | 0.8536 | 0.901 | 0.038 | 0.902 | 0.901 | 0.9 | 0 | 0 | 23 | FS-PSO | 94.0333 | 0.9117 | 0.94 | 0.026 | 0.94 | 0.94 | 0.94 | 0 | 2121 | 12 | FS-APSO | 95.9266 | 0.94 | 0.959 | 0.014 | 0.959 | 0.959 | 0.959 | 0 | 1817 | 9 |
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