A distributed force method for studying muscle activity in human-seat interaction

Musculoskeletal (MSK) models are widely used in seat-related studies to assess muscle activity, yet external loading conditions are often simplified, limiting the representation of realistic human–seat interactions. This study introduces a distributed force method for integrating realistic human–backrest contact loading into MSK simulations to improve the evaluation of muscle responses during sitting. The proposed approach derives a force field from pressure-sensing mat measurements and enables customizable force application based on selected vertebral levels and force point distributions. The method was validated using a full-body MSK model in OpenSim through a case study of seated isometric contraction across three postures (mid, left, and right) under varying backrest inclination angles and cushion geometries. Three distributed force configurations were applied to assess erector spinae (ES) muscle activation. Simulation results show moderate-to-strong agreement with EMG measurements, and the distributed loading approach reduces the mean absolute error (MAE) by up to 1.27%, with greater improvements observed for more upright postures and backrest cushions with geometric features. Overall, this work demonstrates the feasibility and benefits of incorporating distributed forces into MSK modeling and supports its use for more accurate and comprehensive seat ergonomic assessments.

Authors

Institutions

Publication Details

Journal
International Journal of Industrial Ergonomics
Published
2026-07-27
DOI
https://doi.org/10.1016/j.ergon.2026.104022
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A distributed force method for studying muscle activity in human-seat interaction

Xianzhi Zhong, Reza Faieghi, Fengfeng Xi, Lasya Kagolanu
International Journal of Industrial Ergonomics
Ergonomics and Musculoskeletal Disorders
article

A distributed force method for studying muscle activity in human-seat interaction

Xianzhi Zhong, Reza Faieghi, Fengfeng Xi, Lasya Kagolanu
article en

Abstract

Musculoskeletal (MSK) models are widely used in seat-related studies to assess muscle activity, yet external loading conditions are often simplified, limiting the representation of realistic human–seat interactions. This study introduces a distributed force method for integrating realistic human–backrest contact loading into MSK simulations to improve the evaluation of muscle responses during sitting. The proposed approach derives a force field from pressure-sensing mat measurements and enables customizable force application based on selected vertebral levels and force point distributions. The method was validated using a full-body MSK model in OpenSim through a case study of seated isometric contraction across three postures (mid, left, and right) under varying backrest inclination angles and cushion geometries. Three distributed force configurations were applied to assess erector spinae (ES) muscle activation. Simulation results show moderate-to-strong agreement with EMG measurements, and the distributed loading approach reduces the mean absolute error (MAE) by up to 1.27%, with greater improvements observed for more upright postures and backrest cushions with geometric features. Overall, this work demonstrates the feasibility and benefits of incorporating distributed forces into MSK modeling and supports its use for more accurate and comprehensive seat ergonomic assessments.

International Journal of Industrial ErgonomicsVol. 115
Toronto Metropolitan University (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 100%
Ergonomics and Musculoskeletal Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.