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- Title
Multimodal interface interaction design model based on dynamic augmented reality.
- Authors
Kong, Fei; Wang, Yumin
- Abstract
New channels, new carriers continue to produce new data types, how to deal with complex and volatile multi-source data under IoT big data environment has become an important issue. Information perception is the basic content of the development of things, but also an important means to achieve information perception. Information interaction is the basic condition for the realization of Internet of things, but also the basic technology of interconnection. The information sensing of the Internet of Things is mainly the source of information provided by it, which is also the application base of the Internet of Things itself. To effectively process the IoT data, this paper proposes the multimodal intelligent data analyzing paradigm for Internet of things systems. Our proposed multiple game theory based data analyzing paradigm will guarantee the optimal combination of the mentioned model to construct the effect and robust analyzing pattern. We construct the optimal combination of Bayesian model, Decision Tree, Random Forest, Logistic Regression, SVM, Adaboost, Markov and Neural Network under the multiple game framework. Several new ideas are proposed to enhance the traditional Nash Equilibrium. Performance of the proposed method is validated through the simulation compared with the other state-of-the-art algorithms.
- Subjects
SUPPORT vector machines; MACHINE learning; NASH equilibrium; INTERNET of things; CLOUD computing
- Publication
Multimedia Tools & Applications, 2019, Vol 78, Issue 4, p4623
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-018-6423-5