Research Article
Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques
Table 11
Average accuracy of different activities with five deep learning models.
| ID | CNN (%) | LSTM (%) | CNN-BLSTM (%) | CNN-GRU (%) | CNN-LSTM (%) |
| A1 | 97.50 | 97.70 | 97.41 | 99.75 | 99.03 | A2 | 97.25 | 97.10 | 95.65 | 98.99 | 97.78 | A3 | 95.60 | 97.15 | 100 | 96.57 | 98.86 | A4 | 91.26 | 90.26 | 91.96 | 81.99 | 90.76 | A5 | 90.80 | 90.80 | 84.74 | 92.48 | 93.09 | A6 | 99.67 | 98.58 | 100 | 99.78 | 99.78 | A7 | 76.47 | 64.86 | 44.44 | 77.78 | 94.44 | A8 | 100 | 66.67 | 66.67 | 50.00 | 100 | A9 | 63.83 | 69.39 | 62.07 | 48.00 | 76.00 | A10 | 84.85 | 70.27 | 80.00 | 52.94 | 82.35 | A11 | 72.50 | 69.33 | 65.00 | 71.79 | 82.05 | A12 | 83.30 | 70.27 | 70.59 | 55.56 | 88.89 |
|
|