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With the promotion of national fitness and the development of socialization of sport, physical and mental health has gradually become an important demand of the Chinese people in the new era in pursuit of a better life. As a simple and efficient way of fitness and entertainment, VR spinning bikes are not restricted by the weather, time, place, and air pollution, and are slightly loved by the public. However, the current virtual cycling system based on dynamic cycling still has problems such as a single riding scene, inconsistent visual somatosensory, and poor portability. In response to the lack of interactivity and presence of traditional virtual cyclingsystems, this article has developed a cross-platform Multi-scenario VR cycling system with high immersion. The system has multiple riding environments for users to choose personally. The core solves the problem of inconsistent VR riding body sensation, improves the user's immersion and reduces the user's dizziness In addition, the system can run on a varietyof platforms to meet the needs of users' personalized riding.

A serious trouble of virtual bicycle ride has to be faced currently, that is the visual information of scene motion perceived by riders doesn’t synchronize with the proprioceptive information of actual ride. This phenomenon makes riders deeply depressing in immersion and interaction. This paper proposes three different interpolation algorithms of Catmull- Rom curve to evaluate the consistency of visual and proprioceptive perceptions for virtual bicycle ride. Experimental results show that the realtime interpolation algorithm of Catmull-Rom curve shall help to match visual and proprioceptive perceptions, and improve the immersion and interaction of virtual bicycle ride.

Force generation will improve the immersion and authenticity of the virtual environment with human computer interaction. Considering the limitations of single-point interaction with force generation, this paper proposes real-time force generation methods based on double-points interaction. Analyzing the double-points interaction behaviors, we propose different equations to calculate the interactive force under four different interaction states. We establish an experimental environment to test the efficiency of double-points haptic interaction. The evaluation results show that the method can generate interactive force in time, enhance the immersion and authenticity of the virtual environment, and improve the naturalness of human computer interaction.

Image tactile interaction is a new interaction between human and digital images, allowing users to know digital images by touch. In order to improve the authenticity of image tactile perception, this paper proposes a tactile perception model based on image region features. Aiming at the phenomenon of over-partitioning and computational complexity of JSEG algorithm, we propose an improved JSEG algorithm, which can effectively reduce the computational complexity and divide the image areas which are more in line with the subjective visual judgment, and can be used for region-based image tactile generation. The experimental results show that the proposed algorithm can correctly distinguish the image area and improve the accuracy of image tactile perception.

On the basis of most steady state structure of rigid bodies in physical theory, this paper regards data set as physical object, and proposes a dummy digital substantiation viewpoint and some conceptions such as representative data five element groups and model restraint. Then, the algorithm of elasticity based four-point center and borderline (EFCBA) and the algorithm of based on mutual restrict fuzzy data classification (MRFCA) are presented. They have the main features as follows: 1)To combine data set with some concepts of physics, they put forward to the thinking of data substantiation, and lay the foundation of getting representative data of irregular figures and unknown boundary sets; 2) They alleviate the effect caused by irregularity of figures to getting set determination features, and enhance the representation of representative data in set; 3) Classification algorithm has a strong power in classifying, and it has a strong ability to identifying unknown data as well as a strong self-adaptive. The experiment shows the EFCBA enhanced data represented, alleviated the graphics irregularity's influence; The MRFCA used the characteristic of represent data effectively, enhanced the classification's accuracy, and had the good adaptive ability and unknown data classification ability.