Parametric Design of the Forklift Seat Driven by Human Posture Data

ZHANG Ting; SHU Xiaoyong; ZUO Hucheng

doi:10.19554/j.cnki.1001-3563.2026.14.012

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (14) : 130-141. DOI: 10.19554/j.cnki.1001-3563.2026.14.012

Industrial Design

Parametric Design of the Forklift Seat Driven by Human Posture Data

ZHANG Ting¹, SHU Xiaoyong^1,*, ZUO Hucheng²

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Abstract

The work aims to propose the technical path of forklift seat design of "human body data collection-parametric mapping design-simulation optimization" to solve the core problems of poor human-machine comfort, single adaptability and inefficient design scheme iteration. Firstly, the human body data were collected by using Kinect Studio equipment and Tekscan pressure detection device. Secondly, a parametric model was built in the Grasshopper engine. Finally, the scheme was simulated on the Ramsis platform. The parametric workflow of forklift seat design allowed for rapid iteration of the design scheme, and the final design scheme showed better comfort and adaptability. The parametric design of forklift seats based on human posture data optimizes the user experience of engineering seats and provides an innovative reference path for the development of new engineering seats.

Key words

human posture recognition / forklift seat / parametric design / ergonomics

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ZHANG Ting, SHU Xiaoyong, ZUO Hucheng. Parametric Design of the Forklift Seat Driven by Human Posture Data[J]. Packaging Engineering. 2026, 47(14): 130-141 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.012

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