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Related Experiment Video

Updated: Jan 19, 2026

Experimental Methods to Study Human Postural Control

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

Humans Use Similar Posture Sequences in a Whole-Body Tracing Task.

Lijia Liu¹, Leif Johnson¹, Oran Zohar²

¹Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, USA.

|September 13, 2019

Summary

Human movement patterns, like tracing curves, show surprising commonality across individuals. This suggests underlying principles, possibly related to energy efficiency or modular movement strategies, govern complex whole-body motion.

Keywords:

Bioinformatics Computer Graphics Computer Modeling Kinesiology

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Published on: September 16, 2013

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

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Published on: May 3, 2018

Related Experiment Videos

Last Updated: Jan 19, 2026

Experimental Methods to Study Human Postural Control

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Published on: September 11, 2019

Assessing Forelimb Function after Unilateral Cervical SCI using Novel Tasks: Limb Step-alternation, Postural Instability and Pasta Handling

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Published on: September 16, 2013

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Area of Science:

Biomechanics
Human motor control
Robotics

Background:

Human musculoskeletal systems are complex, yet produce elegant, coordinated movements.
Previous research identified common patterns in specific human movements like reaching or piano playing.

Purpose of the Study:

To investigate common patterns in arbitrary whole-body movements tracing large closed curves.
To explore the generality of movement commonality across diverse human actions.

Main Methods:

Analysis of whole-body movement trajectories during the execution of large closed curves.
Comparative analysis of limb trajectories and their variations across different subjects.

Main Results:

Identified significant common patterns in both limb trajectories and their variations during closed-curve movements.
Demonstrated that these commonalities extend to arbitrary whole-body movements, not just specialized actions.

Conclusions:

The generality of observed movement patterns suggests underlying principles governing human locomotion.
Potential explanations include energetic cost minimization and the use of modular movement segments for efficient deployment.