Design of a new kind of chemical experiment container with virtual reality fusion

Abstract

BackgroundAt present, the teaching of experiments in primary and secondary schools is affected by cost and security factors. Existing research on virtual experiment platforms has alleviated these problems. However, the lack of real experimental equipment and use of a single channel to understand user intentions weaken these platforms operationally and degrade the naturalness of interactions. MethodsTo solve these problems, we propose an intelligent experimental container structure and a situational awareness algorithm, both of which are verified and applied to a chemical experiment involving virtual-real fusion. First, the acquired images are denoised in the visual channel using the maximum diffuse reflection chroma to remove overexposure. Second, container situational awareness is realized by segmenting the image liquid level and establishing a relation-fitting model. Then, strategies for constructing complete behaviors and making priority comparisons among behaviors are adopted for information complementarity and independence, respectively. A multichannel intentional understanding model and an interactive paradigm that integrates vision, hearing, and touch are proposed. ResultsThe experimental results show that the accuracy of the intelligent container situation awareness proposed in this paper reaches 99%, and the accuracy of the proposed intention understanding algorithm reaches 94.7%. The test shows that the intelligent experimental system based on the new interaction paradigm also has better performance and a more realistic sense of operation experience in terms of experimental efficiency. ConclusionThe results indicate that the proposed experimental container and algorithm can achieve a natural level of human-computer interaction in a virtual chemical experiment platform, enhance the user′s sense of operation, and achieve high levels of user satisfaction.