Modeling Design Method for Intelligent Industrial Robot Based on Perceptual Image

  • Wangqun Xiao, Xuejie Wang, Ming Lou, Long Chen, Wenbin Li, Xiang Jin

Abstract

For intelligent industrial robot for mining user perceptual demand of product modeling design elements, allows the user to intelligent industrial robot product modeling have better perceptual experience, use of eye tracking, skin conductance, heart rate variability with four categories such as brain electrical physiological activities emotional measurement technology, combined with the subjective psychological measurement technology such as semantic difference method, the qualitative and quantitative research combined with each other, put forward a kind of intelligent industrial robot based on perceptual image product modeling design method. The research shows that this method is effective, and the key features of modeling design elements of intelligent industrial robot products based on user's perceptual image are extracted, which provides scientific basis and reference for industrial designers to carry out modeling design of intelligent industrial robot.

How to Cite
Wangqun Xiao, Xuejie Wang, Ming Lou, Long Chen, Wenbin Li, Xiang Jin. (1). Modeling Design Method for Intelligent Industrial Robot Based on Perceptual Image. Forest Chemicals Review, 2242-2264. Retrieved from http://www.forestchemicalsreview.com/index.php/JFCR/article/view/871
Section
Articles