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Related Experiment Video

Updated: Mar 8, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

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Published on: April 12, 2016

Visual Data Exploration for Balance Quantification in Real-Time During Exergaming.

Venustiano Soancatl Aguilar¹, Jasper J van de Gronde¹, Claudine J C Lamoth²

¹Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Groningen, The Netherlands.

|January 31, 2017

Summary

This summary is machine-generated.

This study explores using exergames to improve balance in older adults. Researchers identified speed, curvature, and turbulence as key measures for real-time balance quantification in exergaming.

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Exergaming in Older People Living with HIV Improves Balance, Mobility and Ameliorates Some Aspects of Frailty

Exergaming in Older People Living with HIV Improves Balance, Mobility and Ameliorates Some Aspects of Frailty

Published on: October 6, 2016

Area of Science:

Gerontology
Biomedical Engineering
Rehabilitation Science

Background:

Unintentional injuries, particularly falls, are a leading cause of death in older adults.
Traditional balance training programs suffer from low adherence due to lack of engagement and practical barriers.
Exergames offer a promising, engaging alternative for balance improvement, but require real-time balance quantification for adaptive difficulty.

Purpose of the Study:

To identify effective measures for real-time balance quantification during exergaming.
To analyze exergaming data using multidimensional exploratory data analysis and visualization techniques.
To assess the potential of these measures for adapting exergame difficulty to individual skill levels.

Main Methods:

Collected force plate data from 40 participants (ages 20-79) during exergaming.
Utilized visualization techniques like heat maps and violin plots for initial data exploration.
Extracted and analyzed features including speed, dispersion, turbulence, and curvature.

Main Results:

Heat maps and violin plots effectively provided initial insights into exergaming data.
Speed, curvature, and a turbulence measure emerged as promising indicators of real-time balance.
These selected measures demonstrated age-related changes in balance performance.

Conclusions:

Exergames hold potential for improving balance and reducing fall risk in older adults.
Speed, curvature, and turbulence are viable metrics for real-time balance assessment in exergames.
Future work will involve applying these techniques to whole-body movement data from motion capture systems.