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Fatigue

Fatigue

Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...

Muscle Recovery and Fatigue

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Visual Agnosia

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Related Experiment Video

Updated: May 19, 2026

The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness

The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness

Published on: January 22, 2012

Visual perception of fatigued lifting actions.

Steven L Fischer¹, Wayne J Albert, Tim McGarry

¹School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada. steve.fischer@queensu.ca

Human Movement Science

|September 4, 2012

Summary

Visual perception can detect worker fatigue through lifting movements. Kinematic information, even from simplified point-light displays, is sufficient for identifying fatigued lifts, suggesting potential workplace safety applications.

Related Experiment Videos

Last Updated: May 19, 2026

The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness

The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness

Published on: January 22, 2012

Area of Science:

Occupational Health
Biomechanics
Human Factors Engineering

Background:

Fatigue significantly increases injury risks for workers due to altered lifting kinematics.
Early detection of fatigue is crucial for implementing effective intervention strategies.
Understanding visual cues for fatigue detection is a key step towards workplace safety.

Purpose of the Study:

To determine if fatigue-induced changes in lifting kinematics are visually perceptible.
To identify the specific visual information critical for discriminating between fresh and fatigued lifts.
To assess the role of kinematic dynamics in fatigue detection.

Main Methods:

Participants viewed video and point-light representations of lifting trials.
Each trial presented a pair of lifts: one fresh and one fatigued from the same individual.
Participants identified the fatigued lift, with accuracy and confidence levels recorded.

Main Results:

Correct fatigue detection rates exceeded chance expectations for both video (68%±12%) and point-light (67%±10%) representations.
No significant differences in detection rates were found between sexes or viewing conditions.
Point-light displays focusing solely on kinematic data enabled fatigue detection with 75% accuracy.

Conclusions:

Fatigue-related alterations in lifting kinematics are visually detectable.
Kinematic dynamics alone provide sufficient information for fatigue discrimination.
These findings suggest potential for visual monitoring systems in mitigating workplace injury risks.