An intelligent experimental container suite: using a chemical experiment with virtual-real fusion as an example

Abstract

Background: At present, the teaching of experiments in primary and secondary schools is affected by cost and security factors. The existing research on virtual-experiment platforms alleviates this problem. However, the lack of real experimental equipment and the use of a single channel to understand users’ intentions weaken these platforms operationally and degrade the naturalness of interactions. To slove the above problems,we propose an intelligent experimental container structure and a situational awareness algorithm,both of which are verified and then applied to a chemical experiment involving virtual-real fusion. First, acquired images are denoised in the visual channel, using maximum diffuse reflection chroma to remove overexposures. 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 information independence, respectively. A multichannel intentional understanding model and an interactive paradigm fusing vision, hearing and touch are proposed. The results show that the designed experimental container and algorithm in a virtual chemical experiment platform can achieve a natural level of human-computer interaction, enhance the user's sense of operation, and achieve high user satisfaction.

Keywords

• Mltichannel intent fusion understanding
• Vrtual-real fusion
• Ntural interaction
• Rmove image highlights
• Nnlinear curve fitting