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Related Experiment Video

Updated: Oct 25, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

A predictive model to quantify joint torques and support reaction forces when using a smartphone while standing with

Philippe Gorce¹, Julien Jacquier-Bret², Johan Merbah³

¹International Institut of Biomechanics and Surgical Ergonomics, Université de Toulon, Toulon, France.

|August 4, 2021

Summary

This summary is machine-generated.

This study presents a biomechanical model to predict smartphone user posture, joint torques, and forces. The model aids in developing risk scales for preventing musculoskeletal disorders (MSDs).

Keywords:

Predictive model musculoskeletal disorders posture risk scale torque/force

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Last Updated: Oct 25, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

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Area of Science:

Biomechanics
Ergonomics
Musculoskeletal Disorders

Background:

Smartphone use is prevalent, leading to potential musculoskeletal disorders (MSDs).
Existing assessment tools may not fully capture the biomechanical demands of smartphone use.

Purpose of the Study:

To develop and validate a predictive biomechanical model for smartphone user posture, joint torques, and support forces.
To propose risk scales for joint torques and reaction forces to aid in MSD prevention.

Main Methods:

A predictive model based on biomechanical principles was developed.
Model predictions were validated against experimental measurements of posture and forces for calling and texting tasks.
Risk scales were constructed using simulation data.

Main Results:

The model accurately estimated posture and ground reaction forces, validated by 400 experimental postures.
The model can estimate parameter variations based on body mass index (BMI) and environmental conditions.
Risk scales for shoulder and elbow joint torques were developed to assess user risk.

Conclusions:

The validated model allows estimation of posture, joint torques, and forces without direct experimentation.
This approach supports the development of new risk assessment scales for MSD prevention in industry.
The findings are relevant for ergonomic assessments and improving user safety.