Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

General State of Stress01:21

General State of Stress

The general state of stress within a material can be accurately depicted using a stress tensor. This tensor encapsulates the internal forces distributed within a material subjected to external forces or deformations.
Specifically, consider a tetrahedral element where one face, labeled XYZ, is perpendicular to the line OA, and the remaining faces align with the coordinate axes with point O as the origin. At any point, such as point O, the stress tensor can be used to determine the stress...
Stress Concentrations01:13

Stress Concentrations

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 concentration...
Stress Concentrations01:24

Stress Concentrations

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 width...
Psychological Responses to Stress01:20

Psychological Responses to Stress

Psychological responses to stress encompass the various cognitive and emotional reactions individuals experience when faced with challenging or threatening situations, such as a job loss. Prolonged exposure to stressors can disturb emotional balance, increasing negative emotions (e.g., anxiety and sadness) and diminishing positive emotions (e.g., joy and satisfaction). These persistent emotional shifts are associated with an increased risk of both physical illness and mental health issues, such...
Components of Stress01:23

Components of Stress

Stress analysis under multiple loading conditions is intricate, necessitating a comprehensive grasp of normal and shearing stresses. Consider a small cube at point O, subjected to stress on all six faces, visible or not. Normal stress components σx, σy, σz act perpendicularly to the x, y, and z axes. Shearing stress components τxy and τxz are exerted on faces perpendicular to these axes.
Interestingly, the hidden cube faces also experience these stresses, equal and opposite to those on the...
Stress Prevention and Stress Management Techniques I01:26

Stress Prevention and Stress Management Techniques I

Stress prevention and management are crucial for maintaining well-being and building resilience. Techniques to manage stress include cultivating qualities like conscientiousness, a sense of personal control, and self-efficacy. Each of these traits significantly reduces stress and promotes healthier lifestyle choices and outcomes.
Conscientiousness
Conscientious individuals tend to be organized, responsible, and disciplined. They prioritize completing tasks and following structured routines,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Listening to MS: AI-assisted speech analysis for diagnosis and fatigue prediction (COMMITMENT).

Frontiers in digital health·2026
Same author

Preliminary Investigation of Federated Learning for MACE Prediction from Electronic Medical Records: A Multicontinental Study.

Studies in health technology and informatics·2026
Same author

Heart rate variability across recording conditions: Associations with depression and burnout in inpatients with stress-related disorders.

Journal of psychosomatic research·2026
Same author

Traditional masculinity ideologies are associated with psychiatric diagnoses in men.

Scientific reports·2026
Same author

Study protocol for PIANo-1: Personalized Investigation of music's effect on Attention in a series of N-of-1 trials.

Contemporary clinical trials communications·2026
Same author

A Real-World Dataset for detecting Handwashing in daily Life using Wrist Motion Data from Wearables.

Scientific data·2026

Related Experiment Video

Updated: Jun 19, 2026

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
11:13

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test

Published on: November 19, 2015

What does your chair know about your stress level?

Bert Arnrich1, Cornelia Setz, Roberto La Marca

  • 1Wearable Computing Laboratory, Swiss Federal Institute of Technology Zurich, 8092 Zurich, Switzerland. barnrich@ife.ee.ethz.ch

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|November 6, 2009
PubMed
Summary

Detecting work-related stress early is crucial for prevention. This study shows that chair pressure data can identify stress, achieving 73.75% accuracy in distinguishing stress from cognitive load in unknown individuals.

More Related Videos

Psychophysiological Stress Assessment Using Biofeedback
10:16

Psychophysiological Stress Assessment Using Biofeedback

Published on: July 31, 2009

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

Related Experiment Videos

Last Updated: Jun 19, 2026

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
11:13

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test

Published on: November 19, 2015

Psychophysiological Stress Assessment Using Biofeedback
10:16

Psychophysiological Stress Assessment Using Biofeedback

Published on: July 31, 2009

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

Area of Science:

  • Affective computing
  • Pervasive computing
  • Human-computer interaction
  • Occupational health

Background:

  • Work-related stress incurs significant costs, necessitating early detection and prevention strategies.
  • Affective and pervasive computing offer new avenues for identifying early warning signs of stress.
  • Posture and physiological signals are potential channels for detecting affective states.

Purpose of the Study:

  • To investigate the feasibility of detecting affective information related to stress from posture data during office work.
  • To explore the association between pressure distribution on a chair and affective states.
  • To develop a method for person-independent discrimination of stress from cognitive load using only pressure data.

Main Methods:

  • Collected physiological signals from 33 subjects during a laboratory stress intervention.
  • Analyzed features derived from pressure distribution on a chair to identify affective states.
  • Employed a supervised variant of a self-organizing map for stress detection and classification.

Main Results:

  • Nervous subjects exhibited a higher variance of movements under stress.
  • Person-independent discrimination between stress and cognitive load was achieved using only chair pressure data.
  • The self-organizing map achieved an overall accuracy of 73.75% for classifying stress in unknown subjects.

Conclusions:

  • Posture-derived pressure data holds potential for detecting work-related stress.
  • A person-independent approach to stress detection using chair pressure is feasible.
  • Affective computing can leverage physiological signals for proactive stress management in the workplace.