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Related Concept Videos

Applications of Stress01:04

Applications of Stress

432
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...
432
Physiological Foundation of Stress01:24

Physiological Foundation of Stress

209
Stress triggers a coordinated physiological response involving the sympathetic nervous system (SNS) and the hypothalamic-pituitary-adrenal (HPA) axis. This dual activation ensures that the body is prepared for both immediate and prolonged stress management. The process begins with the perception of a stressor. This initial phase activates the SNS, leading to the rapid release of adrenaline (epinephrine) from the adrenal glands.
Role of the Sympathetic Nervous System
Adrenaline triggers the...
209
Components of Stress01:23

Components of Stress

311
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...
311
Stress Prevention and Stress Management Techniques IV01:26

Stress Prevention and Stress Management Techniques IV

75
Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
75
Psychological Responses to Stress01:20

Psychological Responses to Stress

244
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...
244
Stress Prevention and Stress Management Techniques III01:25

Stress Prevention and Stress Management Techniques III

141
Regular exercise and meditation serve as essential tools in managing stress and promoting physical and mental well-being.
The Role of Exercise in Stress Management
Regular physical activity is essential for reducing stress and promoting cardiovascular health. Exercise strengthens the heart, enhances blood flow, keeps blood vessels flexible, and helps lower blood pressure, all of which reduce the body's stress response. Research shows that adults who exercise regularly have nearly half the...
141

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Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
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Employing Multimodal Machine Learning for Stress Detection.

Rahee Walambe1,2, Pranav Nayak1, Ashmit Bhardwaj1

  • 1Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune 411215, India.

Journal of Healthcare Engineering
|November 8, 2021
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Summary

This study introduces a multimodal AI framework to detect and classify work-related stress using sensor data. The system accurately identifies stress patterns, aiding individuals in sedentary jobs to monitor their mental wellness.

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Area of Science:

  • Artificial Intelligence
  • Computational Psychology
  • Human-Computer Interaction

Background:

  • Modern lifestyles and sedentary jobs contribute to rising mental health issues.
  • Mental wellness is critical but often overlooked, impacting overall physiology and performance.
  • Identifying individual stress trends is complex due to multifactorial influences.

Purpose of the Study:

  • To propose a multimodal AI-based framework for monitoring working behavior and stress levels.
  • To develop a methodology for detecting workload-induced stress by fusing heterogeneous sensor data.
  • To identify personalized stress patterns over time for early intervention.

Main Methods:

  • Concatenation of heterogeneous raw sensor data streams including facial expressions, posture, heart rate, and computer interaction.
  • Development of a multimodal AI strategy for data fusion to detect stress and its severity.
  • Analysis of fused data to discover unique behavioral patterns indicative of mental strain.

Main Results:

  • Achieved 96.09% accuracy in stress detection and classification on the test set.
  • Reduced the stress scale prediction model loss to 0.036.
  • Successfully demonstrated the ability to identify personalized stress patterns.

Conclusions:

  • The proposed multimodal AI framework effectively detects and classifies work-related stress.
  • This approach offers a novel method for understanding and managing mental strain in sedentary workers.
  • The findings are particularly relevant for promoting mental wellness in the context of modern work environments and public health challenges like COVID-19.