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Personalized Auxiliary Information Presentation System for Mobile Network Based on Multimodal Information

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Abstract

The existing personalized auxiliary information presentation system has some problems, such as low presentation efficiency, poor emotion recognition effect and so on. In this paper, multimodal information is introduced to improve the personalized auxiliary information presentation system of mobile network. On the basis of obtaining user demand data, data processing was carried out through input data analysis layer and logic service layer. The multi-modal information was obtained at the perception layer and transmitted to the system service layer to realize the user multi-modal state identification of the personalized auxiliary information presentation system in the mobile network. The long-term and short-term memory network model was constructed to identify the personalized auxiliary information of mobile network, and the personalized auxiliary information of mobile network is presented according to the user's emotion. The experimental results show that the system can effectively identify the user emotion, and realize the personalized presentation of personalized auxiliary information in the mobile network according to the user emotion. At this time, the learning rate is 0.02, and the optimal length is 25 words.

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Acknowledgements

This paper was partly supported by AVIC Chengdu aircraft design and Research Institute with Project title “Data processing and analysis of cockpit lighting experiment” and “Cockpit behavior simulation and behavior analysis system”, as well as Heze University with Project title “Research and innovation team of Applied Psychology”, project of CEntre de Recherches et d’Investigations Epidermiques et Sensorielles (CERIES) with title “Facial Contrast and Age Perception: Influence of facial contrast on perceived age when Chinese women evaluate female faces?”.

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Authors and Affiliations

  1. Department of Psychology, Heze University, Heze, 274000, Shandong, China

    Yuli Liu

  2. Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, 05006, Korea

    Muhammad Fazal Ijaz

Authors
  1. Yuli Liu
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  2. Muhammad Fazal Ijaz
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Correspondence to Muhammad Fazal Ijaz.

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The authors have no relevant financial or non-financial interests to disclose. Yuli Liu provided the algorithm and experimental results, wrote the manuscript, Muhammad Fazal Ijaz revised the paper, supervised and analyzed the experiment. We also declare that data availability and ethics approval is not applicable in this paper.

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Liu, Y., Ijaz, M.F. Personalized Auxiliary Information Presentation System for Mobile Network Based on Multimodal Information. Mobile Netw Appl 27, 2611–2621 (2022). https://doi.org/10.1007/s11036-022-02076-5

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