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.

UserUser satisfaction (%)
Proposed algorithmLiterature [3] algorithmLiterature [4] algorithmLiterature [5] algorithmLiterature [6] algorithmLiterature [7] algorithm

User 188.662.359.766.470.271.5
User 289.763.558.867.270.372.6
User 390.463.757.665.971.470.4
User 489.562.256.865.372.269.8
User 591.262.154.966.771.871.4
User 687.864.057.165.871.371.5
User 792.364.857.665.469.969.7
User 893.164.458.367.373.472.1
User 988.963.959.667.873.571.5
User 1089.562.659.468.071.371.1
User 1191.763.057.467.172.169.8
User 1293.062.657.766.373.269.9
User 1388.762.456.164.773.072.0
User 1489.663.655.068.872.871.4
User 1591.161.757.868.672.471.6