Assessing the Physical Impact of Supernumerary Limbs on a Human Subject: A Simulation Study

Chaerim Moon, Joohyung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wearable robotic systems physically interact with the human user, and it may alternate human body states. It has been studied to exploit the dynamics of Supernumerary Robotic Limbs (SRLs) to assist human balancing by constructing a closed-chain. However, only limited studies have explored the dynamic effect of their uses in open-chain configurations. Thus, this study is designed to develop the simulation to analyze the dynamic effect of open-chain configured SRLs on the human subject. Using simulation, the study investigated the applied torque between human and robot models, exploring potential applications of SRLs across various factors - including robot configurations, types of motion, and gravity conditions. The results illustrate how changes in applied torque vary with different conditions.

Original languageEnglish (US)
Title of host publication46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350371499
DOIs
StatePublished - 2024
Event46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Orlando, United States
Duration: Jul 15 2024Jul 19 2024

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
Country/TerritoryUnited States
CityOrlando
Period7/15/247/19/24

Keywords

  • Human Factors and Human-in-the-Loop
  • Physical Human-Robot Interaction
  • Wearable Robotics

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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