# Modeling of Interface Loads for EOD Suit Wearers

**Authors:** Yuan Gao, Stephanie Epstein, Murat Inalpolat, Yi-Ning Wu, and Yan Gu

arXiv: 2302.14028 · 2023-02-28

## TL;DR

This paper presents a simulation framework to model and analyze the interface loads between EOD suits and wearers, aiming to improve suit comfort and design efficiency through computational methods validated against experimental data.

## Contribution

It introduces a novel simulation-based modeling framework combining inertial, geometric, and inverse dynamics analyses for EOD suit interface load prediction.

## Key findings

- The simulation accurately predicts interface forces during human tasks.
- The method reduces the need for extensive experimental testing.
- Validated against pressure sensor measurements.

## Abstract

Explosive Ordnance Disposal (EOD) suits are widely used to protect human operators to execute emergency tasks such as bomb disposal and neutralization. Current suit designs still need to be improved in terms of wearer comfort, which can be assessed based on the interaction forces at the human-suit contact regions. This paper introduces a simulation-based modeling framework that computes the interaction loads at the human-suit interface based on a wearer's kinematic movement data. The proposed modeling framework consists of three primary components: a) inertial and geometric modeling of the EOD suit, b) state estimation of the wearer's in-suit movement, and c) inverse dynamics analysis to calculate the human-suit interface forces based on the simulated human-suit model and the estimated human movement data. This simulation-based modeling method could be used to complement experimental testing for improving the time and cost efficiency of EOD suit evaluation. The accuracy of the simulated interface load was experimentally benchmarked during three different human tasks (each with three trials), by comparing the predicted interface forces with that measured by commercial pressure sensors.

## Full text

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## Figures

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/2302.14028/full.md

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Source: https://tomesphere.com/paper/2302.14028