This study aimed to evaluate pilot manipulation comfort in different flight scenarios under different ambient temperatures. To achieve this goal, we designed a test plan to devise the physiological indexes used in the evaluation of pilot manipulation comfort, collected and analyzed pilot EMG signals and mean skin temperature, and on this basis revealed the impacts of different ambient temperatures and different flight missions on muscle activation and mean skin temperature. Based on this, we extracted muscle activation and mean skin temperature as the evaluation indices for the evaluation of manipulation comfort and established a model for this evaluation based on an improved particle swarm optimization and least-squares support vector machine (IPSO-LSSVM). Based on this model, the predicted manipulation comfort values of the participants were 4, 5 and 6, which belong to the categories of fair, somewhat comfortable and rather comfortable, respectively. By comparing the prediction results of different evaluation methods, the method proposed in this study was verified to be effective.
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