Cluster Computing

, Volume 22, Supplement 4, pp 9461–9468 | Cite as

Image-based tablet form design

  • Man Ding
  • Zhonghang BaiEmail author
  • Mei Li


The emotional cognition brought by tablet form characteristics (shape, color, size, etc.) to users can affect their choice of tablet, and even can affect their confidence of medicine treatment effect. In order to assist in improving medicine treatment effect, it is necessary to design tablet form that meets the need of users’ emotion. This paper proposes an image-based tablet form design method. Firstly, it determines emotional needs of users and decomposes design elements of tablet form. Then, it obtains image perceptual information of users by their subjective evaluation and employs grey prediction model to build the correlation model between design elements and users’ perceptual images. Finally it employs particle swarm optimization to optimize design scheme of tablet form. Through the case of children’s tablet form design, it was proved that this method is effective and feasible, and could effectively assist in tablet form design.


Image Tablet form Particle swarm optimization Grey prediction model 



The authors acknowledge the National Natural Science Foundation of China (Grant: 51575158), the Natural Science Foundation of Hebei Province (Grant: E2016202058) and Scientific Research Foundation for the Returned Overseas Scholars of Hebei Province (Grant: CL201706).


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Architecture & Art DesignHebei University of TechnologyTianjinChina
  2. 2.National Engineering Research Center for Technological Innovation Method and ToolHebei University of TechnologyTianjinChina

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