The introduction of virtual reality technology into rehabilitation training can avoid various shortcomings of traditional rehabilitation training, and can efficiently complete training tasks. Based on the basic theory of virtual reality, this paper constructs a sports rehabilitation training method to achieve the consistency of the virtual upper limbs and the real upper limbs of the human body. The model provides a background environment in the virtual reality training, realizes the systematic maintenance of the patient’s training mode, provides the patient with a scientifically based training mode and evaluation results, solves the quantitative index problem of sports rehabilitation training, and builds a virtual upper limb platform at the same time. During the simulation process, the system used the Berg balance assessment scores to conduct four-stage assessments. Before treatment, the three-dimensional gait analysis, FMAL lower extremity function scores and Berg balance assessment results were not significantly different between the control group and the experimental group ($p>0.05$). The experimental results showed that the three-dimensional gait analysis was used to analyze the pace, left and right step length, left and right support percentage, and stride frequency. Compared with the evaluation data before treatment, the index values of the control group and the experimental group were significantly improved ($P<0.05$); after the treatment, the two groups of patients were evaluated for motor function, the evaluation values of the experimental group were higher than those of the control group when compared between the two groups. It effectively meets the human–computer interaction needs of rehabilitation training.

将虚拟现实技术引入康复训练，可以避免传统康复训练的各种缺点，高效完成训练任务。本文基于虚拟现实基础理论，构建运动康复训练方法，实现人体虚拟上肢与真实上肢的一致性。该模型在虚拟现实训练中提供背景环境，实现患者训练模式的系统化维护，为患者提供科学依据的训练模式和评价结果，解决运动康复训练的量化指标问题，构建虚拟鞋面。肢体平台同时。在模拟过程中，该系统使用Berg平衡评估分数进行四阶段评估。治疗前，对照组与实验组三维步态分析、FMAL下肢功能评分、Berg平衡评估结果无显着差异（$p>0.0\mathrm{5个}$). 实验结果表明，采用三维步态分析对步速、左右步长、左右支撑百分比、步频进行分析。与治疗前评价数据相比，对照组和实验组各项指标值均有明显提高（$P<0.0\mathrm{5个}$); 治疗后对两组患者进行运动功能评价,两组比较,实验组评价值高于对照组。有效满足康复训练的人机交互需求。