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Related Experiment Video

Updated: Mar 19, 2026

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science.

Oliver Roberts¹, Pablo Cruz Gonzalez^1,2, Arun-Kumar Kaliya-Perumal¹

¹Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.

Scientific Data

|March 18, 2026

Summary

This summary is machine-generated.

This study introduces a large-scale dataset of fast-gait 10-meter walk tests from healthy older adults in Southeast Asia. It enhances mobility assessment with motion capture technology and includes a fall risk model.

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Published on: August 30, 2016

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

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Published on: March 4, 2018

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Last Updated: Mar 19, 2026

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Area of Science:

Biomechanics
Gerontology
Data Science

Background:

Gait assessment is crucial for evaluating mobility in older adults.
The conventional 10-meter walk test provides limited biomechanical data.
Motion capture technology can enhance gait analysis by providing granular data.

Purpose of the Study:

To present the first large-scale dataset of fast-gait 10-meter walk tests from Southeast Asian older adults.
To integrate motion capture technology for high-definition gait analysis.
To report a five-year follow-up model of fall risk within the study cohort.

Main Methods:

Collected data from 100 healthy older adults (50-80 years) in Southeast Asia.
Utilized motion capture technology during the 10-meter walk test.
Developed a five-year fall risk prediction model based on gait parameters.

Main Results:

Established a unique, large-scale dataset of high-definition gait data from a diverse older adult population.
Demonstrated the feasibility of integrating advanced motion capture into standard gait assessments.
Provided a validated model for predicting fall risk over a five-year period.

Conclusions:

The dataset serves as a valuable normative resource for clinical and research applications in mobility and aging.
Enhanced gait analysis using motion capture offers deeper insights than conventional methods.
The fall risk model has significant implications for preventative strategies in geriatric care.