Self-paced treadmill is the key human-robot interactive equipment for virtual reality. The current study focuses on the jumping interaction control technology for self-paced treadmill to enrich the application scenarios. For the purpose to analyze the stability of human jump landing, a novel variable stiffness spring-mass loaded inverted pendulum model is proposed, which takes into account the combined effects of lower limb bones and joint muscles. Experimental results show that the proposed model can realize the modeling of the mass center motion trajectory and the analysis of the jumping stable domain, the accuracy of stability recognition is 93. 0% . Based on the proposed model and the stability analysis, the jumping interaction control strategies for the self-paced treadmill are proposed to improve human stability during jumping landing. The simulation and experimental results show that the proposed method can improve the stability of human jump landing significantly. Meanwhile, the proposed method reduces the torque of lower limb joints effectively. The peak torque of the knee joint reduces from 230 N/ m to 210. 7 N/ m, and the peak torque of the ankle joint reduces from 143. 6 N/ m to 131 N/ m, which is expected to lower the risk of injury.