Research Article
[Retracted] Effect Measurement for Human Motion Rehabilitation Training Using Improved Deep Reinforcement Learning and IoT Networks
Table 2
Comparison of satisfaction test results.
| User | User satisfaction (%) | Proposed algorithm | Literature [3] algorithm | Literature [4] algorithm | Literature [5] algorithm | Literature [6] algorithm | Literature [7] algorithm |
| User 1 | 88.6 | 62.3 | 59.7 | 66.4 | 70.2 | 71.5 | User 2 | 89.7 | 63.5 | 58.8 | 67.2 | 70.3 | 72.6 | User 3 | 90.4 | 63.7 | 57.6 | 65.9 | 71.4 | 70.4 | User 4 | 89.5 | 62.2 | 56.8 | 65.3 | 72.2 | 69.8 | User 5 | 91.2 | 62.1 | 54.9 | 66.7 | 71.8 | 71.4 | User 6 | 87.8 | 64.0 | 57.1 | 65.8 | 71.3 | 71.5 | User 7 | 92.3 | 64.8 | 57.6 | 65.4 | 69.9 | 69.7 | User 8 | 93.1 | 64.4 | 58.3 | 67.3 | 73.4 | 72.1 | User 9 | 88.9 | 63.9 | 59.6 | 67.8 | 73.5 | 71.5 | User 10 | 89.5 | 62.6 | 59.4 | 68.0 | 71.3 | 71.1 | User 11 | 91.7 | 63.0 | 57.4 | 67.1 | 72.1 | 69.8 | User 12 | 93.0 | 62.6 | 57.7 | 66.3 | 73.2 | 69.9 | User 13 | 88.7 | 62.4 | 56.1 | 64.7 | 73.0 | 72.0 | User 14 | 89.6 | 63.6 | 55.0 | 68.8 | 72.8 | 71.4 | User 15 | 91.1 | 61.7 | 57.8 | 68.6 | 72.4 | 71.6 |
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