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Related Concept Videos

Applications of Stress01:04

Applications of Stress

771
Consider a structure made of a boom and a rod designed to support a load. These two components are connected by a pin and stabilized by brackets and pins. The boom and the rod are detached from their supports to assess the different stresses imposed on this structure, and a free-body diagram is drawn. Then, all the forces applied, including the load acting on the structure, are identified. The reaction forces exerted on both the boom and the rod are computed using the equilibrium equations.
The...
771
Stress Concentrations01:13

Stress Concentrations

787
The concept of stress concentration is crucial for understanding how materials respond under bending stresses, particularly when there are irregularities or discontinuities in the material's geometry. Normally, stress in a symmetric member subjected to pure bending is assumed to be uniformly distributed across the entire cross-section. However, this assumption does not hold when there are variations in the cross-sectional geometry or the presence of notches and holes.
The stress...
787
Stress Concentrations01:24

Stress Concentrations

843
Stress concentration is when stress intensifies near discontinuities such as holes or abrupt cross-sectional changes in a structural member. This localized stress can often surpass the average stress within the member. The stress distribution in flat bars, either with a circular hole or varying widths connected by fillets, can be determined experimentally using a photoelastic method. The results are based on ratios of geometric parameters like the ratio of the hole's radius to the smaller...
843

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Updated: Apr 9, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
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Automatic Stress Detection in Working Environments From Smartphones' Accelerometer Data: A First Step.

Enrique Garcia-Ceja, Venet Osmani, Oscar Mayora

    IEEE Journal of Biomedical and Health Informatics
    |June 19, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study used smartphone accelerometer data to objectively measure workplace stress. Researchers achieved up to 71% accuracy in detecting stress levels, offering a privacy-conscious approach to workforce well-being.

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    Area of Science:

    • Occupational Health
    • Human-Computer Interaction
    • Behavioral Psychology

    Background:

    • Increasing workloads and occupational stress negatively impact workforce health.
    • Objective measurement of psychological states like stress is challenging due to self-reporting subjectivity.
    • Smartphones offer a feasible platform for objective behavioral monitoring related to stress.

    Purpose of the Study:

    • To investigate the use of smartphone accelerometer data for detecting occupational stress.
    • To assess the accuracy of accelerometer-based stress detection models.
    • To explore a privacy-preserving method for monitoring workforce stress.

    Main Methods:

    • Utilized data from smartphone accelerometers of 30 subjects across two organizations over eight weeks.
    • Subjects self-reported perceived stress levels multiple times during working hours.
    • Employed statistical models to classify stress levels based on accelerometer data.

    Main Results:

    • Achieved a maximum user-specific model accuracy of 71% for stress level classification.
    • Obtained an accuracy of 60% using similar-users models.
    • Demonstrated that accelerometer data alone can correlate with self-reported stress.

    Conclusions:

    • Smartphone accelerometer data holds potential for objective occupational stress assessment.
    • This method offers a privacy-conscious alternative to other sensor-based monitoring.
    • Further research can refine models for improved stress detection in the workplace.