Visual perception-based human-computer interaction information classification method for intelligent products
Liting Zhou,
Xuan Li and
Minmin Guo
International Journal of Product Development, 2023, vol. 27, issue 1/2, 28-40
Abstract:
This paper proposes a new intelligent product human-computer interaction information classification method based on visual perception. Design smart product human-computer interaction information collection device to realise rapid and accurate collection of smart product human-computer interaction information, and fusion processing of the collected information. The ISA model is built according to the principle of visual perception, and the model is optimised by the gradient descent method. The optimised model is used to extract the information attribute characteristics, and the intelligent product human-computer interaction information classification is carried out according to the information attribute characteristics. The experimental results show that the accuracy of information classification of this method is always above 94.7%, and the average classification time is 0.53 s, which verifies the superiority of the method.
Keywords: visual perception; intelligent products; man-machine interaction; information classification; ISA model. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:28-40
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