Prediction of Stability during Walking at Simulated Ship’s Rolling Motion Using Accelerometers

Research output: Contribution to journalArticlepeer-review

Abstract

Due to a ship’s extreme motion, there is a risk of injuries and accidents as people may become unbalanced and be injured or fall from the ship. Thus, individuals must adjust their movements when walking in an unstable environment to avoid falling or losing balance. A person’s ability to control their center of mass (COM) during lateral motion is critical to maintaining balance when walking. Dynamic balancing is also crucial to maintain stability while walking. The margin of stability (MOS) is used to define this dynamic balancing. This study aimed to develop a model for predicting balance control and stability in walking on ships by estimating the peak COM excursion and MOS variability using accelerometers. We recruited 30 healthy individuals for this study. During the experiment, participants walked for two minutes at self-selected speeds, and we used a computer-assisted rehabilitation environment (CAREN) system to simulate the roll motion. The proposed prediction models in this study successfully predicted the peak COM excursion and MOS variability. This study may be used to protect and save seafarers or passengers by assessing the risk of balance loss.

Original languageEnglish (US)
Article number5416
JournalSensors
Volume22
Issue number14
DOIs
StatePublished - Jul 2022

Keywords

  • CAREN
  • accelerometer
  • center of mass
  • gait stability
  • margin of stability
  • ship rolling

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Prediction of Stability during Walking at Simulated Ship’s Rolling Motion Using Accelerometers'. Together they form a unique fingerprint.

Cite this