In order to remedy the weakness of traditional subjective evaluation method and acquire the users’ objective assessment on automotive form design, a method of Auto form evaluation based on eye tracking is proposed. First, the index system is structured on the basis of heatmap including striping the background, extracting color characters by HSV model and calculating the statistic of grey level histogram. Second, the evaluation on auto form is defined as binary classification, and the function model is built by Fisher discriminate. The reliability and practicality of this method was validated by taking a case. The result showed that overall accuracy of this method was high. So a feasible technical approach for the rapid evaluation of automotive styling is provided.
CITATION STYLE
Lu, Z., Xu, S., & Cheng, B. (2018). A Method of Car Styling Evaluation Based on Eye Tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10920 LNCS, pp. 342–350). Springer Verlag. https://doi.org/10.1007/978-3-319-91806-8_26
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