Comfort Prediction of Office Chair Surface Material Based on the ISSA-LSSVM

Comfort Prediction of Office Chair Surface Material Based on the ISSA-LSSVM

This study serves the purpose of assisting users in selecting a comfortable seat surface material for office chairs and enhancing users’ comfort while using office chairs. To address the issue that the selection of traditional seat surface material is too subjective and that the prediction effect is...

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Bibliographic Details
Main Authors: Xuyinglong Zhang, Zilian Cheng, Mengyang Zhang, Xiaodong Zhu, Xianquan Zhang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
office chair
improved sparrow search algorithm
least square support vector machine
comfort
prediction
Online Access:https://www.mdpi.com/1424-8220/22/24/9822

Internet

https://www.mdpi.com/1424-8220/22/24/9822

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