Open AccessResearch on Modeling Design of Ear Thermometer Based on User Image
Author(s) -
Lei Hu,
Xin Zou
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/926/1/012034
Subject(s) - thermometer , kansei engineering , perception , human–computer interaction , vocabulary , computer science , product (mathematics) , image (mathematics) , computer vision , artificial intelligence , engineering drawing , engineering , psychology , mathematics , linguistics , philosophy , physics , geometry , quantum mechanics , neuroscience
The purpose is to enable users to obtain a better perception experience and enhance the user’s perceptual needs recognition of the appearance of the ear thermometer. The method is guided by the kansei engineering theory, through quantitative analysis of perceptual needs evaluation and eye tracking test. Obtain the mapping relationship between the vocabulary representing the sexy image and the modeling features of the ear thermometer, and conduct the example design of the product form of the ear thermometer based on user needs. Conclusion The design practice verifies that the ear thermometer design method based on user image preference has high feasibility. Provide product development directions for related companies and designers.