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Related Experiment Video

Updated: May 4, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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A Motion Capture Dataset on Human Sitting to Walking Transitions.

Chamalka Kenneth Perera1, Zakia Hussain1, Min Khant1

  • 1Monash Engineering & Technology Research Hub, School of Engineering, Monash University, Subang Jaya, Selangor, Malaysia.

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|August 13, 2024
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Summary
This summary is machine-generated.

This study introduces a comprehensive sit-to-walk dataset from 65 healthy adults across three age groups. The data provides a benchmark for studying biomechanics and developing assistive technologies.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Gerontology

Background:

  • Sit-to-walk (STW) is essential for daily living, but existing datasets are limited.
  • Understanding age-related changes in STW is crucial for mobility and independence.
  • A larger, multi-modal dataset is needed to establish reliable benchmarks.

Purpose of the Study:

  • To present a novel, comprehensive dataset of sit-to-walk (STW) biomechanics.
  • To capture detailed lower body movement, muscle activity, and functional outcomes.
  • To enable cross-sectional analysis of STW across different age groups.

Main Methods:

  • Collected data from 65 healthy adults across young, middle, and older age groups.
  • Utilized motion capture, ground reaction force, EMG, and IMU sensors.
  • Administered the Knee Injury and Osteoarthritis Outcome Score (KOOS) survey.

Main Results:

  • Achieved good test-retest reliability (ICC > 0.74) for lower body joint angles.
  • STW joint angle trajectories and maximum voluntary contractions align with existing literature.
  • Established a dataset comparable to current research standards.

Conclusions:

  • This dataset provides a valuable resource for studying age-related STW biomechanics.
  • It serves as a benchmark for assessing neuromusculoskeletal impairments.
  • Facilitates the design and development of assistive technologies for rehabilitation.