Open AccessResearch on the design factors of H-shaped women’s trousers based on eye-tracking technology
Author(s) -
Jun Jun Chen,
Yue Li,
Xiao Gang Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012150
Subject(s) - silhouette , eye tracking , computer vision , artificial intelligence , clothing , statistical software , computer science , fixation (population genetics) , engineering , geography , data science , archaeology , population , demography , sociology
In order to accurately study the silhouette of clothing, this paper adopts eye- tracking technology to conduct in-depth analysis on the influencing factors of the silhouette of H-shaped women’s trousers, obtain the tracking data of eye movement controlling the silhouette, and finally obtain the pattern-making variables controlling the H-shaped women’s trousers through statistical analysis. By eye-tracking experiments, we used image recognition technology to record experimental data, dividing the interest area of H-shaped women’s trousers, analyzing the eye movement indicators such as the total fixation duration, visit count in the interest area, and using SPSS software to perform multi-factor of variance and mean value analysis.Finally the key parts that affect the shape of H-type trousers are determind, which has high accuracy and practicality. The research adopts scientific and rigorous methods, which is the basis for the preliminary research of intelligent pattern-making and profile control.