Monday, 30 Jun 2025
  • Contact
  • Privacy Policy
  • Terms & Conditions
  • DMCA
logo logo
  • World
  • Politics
  • Crime
  • Economy
  • Tech & Science
  • Sports
  • Entertainment
  • More
    • Education
    • Celebrities
    • Culture and Arts
    • Environment
    • Health and Wellness
    • Lifestyle
  • 🔥
  • Trump
  • House
  • VIDEO
  • White
  • ScienceAlert
  • Watch
  • Trumps
  • man
  • Health
  • Day
Font ResizerAa
American FocusAmerican Focus
Search
  • World
  • Politics
  • Crime
  • Economy
  • Tech & Science
  • Sports
  • Entertainment
  • More
    • Education
    • Celebrities
    • Culture and Arts
    • Environment
    • Health and Wellness
    • Lifestyle
Follow US
© 2024 americanfocus.online – All Rights Reserved.
American Focus > Blog > Tech and Science > Wearable sensors monitor factory worker fatigue in real time
Tech and Science

Wearable sensors monitor factory worker fatigue in real time

Last updated: October 15, 2024 9:02 pm
Share
Wearable sensors monitor factory worker fatigue in real time
SHARE

Manufacturing jobs have long been associated with high rates of injuries, often stemming from physical and mental fatigue among workers. To address this issue, researchers have developed a system of wearable sensors that utilize machine learning to monitor workers for signs of strain and tiredness. The goal of these devices is to enhance job site safety and prevent accidents.

The research, detailed in a study published by a team at Northwestern University in the October edition of PNAS Nexus, focuses on a network of six wearable sensors positioned on a wearer’s torso and arms. These sensors are complemented by two depth cameras to track joint movements and an HD webcam to analyze movement patterns, intensity, and strength over time. By continuously monitoring heart rate, skin temperature, and locomotion patterns, the system aims to provide a comprehensive understanding of a worker’s physical condition.

Given the absence of universal biomarker metrics for fatigue, researchers relied on self-reported perceived exertion levels on a scale of 0-10, which were then fed into a machine learning model for real-time fatigue prediction. This approach offers a more nuanced assessment of an individual’s physical state compared to traditional methods.

The potential applications of this technology are significant, with the ability to optimize work schedules, implement adaptive work/rest cycles, and address the lack of deterministic biomarkers in manufacturing settings. In a trial involving 43 participants performing simulated manufacturing tasks while wearing weighted vests, the system accurately predicted fatigue levels and received positive feedback from industry workers.

Key findings from the study emphasize the importance of viewing exertion as a continuous variable and tailoring fatigue indicators to individual characteristics such as age, gender, and weight. Universal trends observed during the manufacturing tasks include measuring fatigue levels in the nondominant arm and monitoring ambulatory movements through chest sensors. Common signs of fatigue such as increased heart rate, elevated body temperature, and perspiration also informed the modeling for assessing exertion.

See also  Honor Doesn’t Want to be Known as a Smartphone Company Anymore

The researchers envision that similar sensor systems will provide more precise monitoring of manual labor fatigue in factories, ultimately enhancing worker safety and risk mitigation. To facilitate this progress, they have made their methodology designs openly accessible online. However, ethical considerations regarding the deployment of such technology in workplace environments are essential, emphasizing the need for responsible oversight by manufacturing companies.

As advancements in technology continue to evolve, discussions surrounding the ethical and legal implications of deploying fatigue-monitoring systems in real-world settings will be crucial. By promoting constructive dialogue and responsible practices, the integration of wearable sensors and machine learning algorithms has the potential to revolutionize worker safety in manufacturing industries.

TAGGED:FactoryfatigueMonitorrealsensorstimeWearableworker
Share This Article
Twitter Email Copy Link Print
Previous Article Aurora Mayor Pro Tem Dustin Zvonek resigns from City Council Aurora Mayor Pro Tem Dustin Zvonek resigns from City Council
Next Article We Earthlings: Banks Are Unprepared We Earthlings: Banks Are Unprepared
Leave a comment

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Popular Posts

Superstar leaves team on medical recommendation as Lakers gear up for two blockbuster games

LeBron James will not be accompanying the LA Lakers for their final two games of…

March 13, 2025

Updated standings after Kuwait vs Malaysia, Match 2

The T20 International Tri-nations Cup 2024 witnessed an intense clash between Kuwait and Malaysia at…

August 29, 2024

Former Fox News host Steve Hilton is running for California governor

SACRAMENTO, California — A New Hope for the GOP? In a bold move that has…

April 21, 2025

Remembering Greg Gumbel: Viewers relied on him from Selection Sunday to ‘One Shining Moment’

The Athletic provided live coverage of the highly anticipated 2025 Men's March Madness Selection Show.…

March 16, 2025

Fires Send L.A. Residents Scrambling for Housing

The devastating fires in the Los Angeles area have left thousands of residents displaced and…

January 10, 2025

You Might Also Like

Real Madrid vs. Juventus live stream: Where to watch Club World Cup free, odds, prediction, pick, lineups
Sports

Real Madrid vs. Juventus live stream: Where to watch Club World Cup free, odds, prediction, pick, lineups

June 30, 2025
Bold Plan to DNA Test All Babies in UK Poses Serious Risks, Experts Warn : ScienceAlert
Tech and Science

Bold Plan to DNA Test All Babies in UK Poses Serious Risks, Experts Warn : ScienceAlert

June 30, 2025
Samsung Galaxy Tri-Fold Phone Tipped for Unpacked July
Tech and Science

Samsung Galaxy Tri-Fold Phone Tipped for Unpacked July

June 30, 2025
World’s Oldest Rocks Confirmed in Canada
Tech and Science

World’s Oldest Rocks Confirmed in Canada

June 30, 2025
logo logo
Facebook Twitter Youtube

About US


Explore global affairs, political insights, and linguistic origins. Stay informed with our comprehensive coverage of world news, politics, and Lifestyle.

Top Categories
  • Crime
  • Environment
  • Sports
  • Tech and Science
Usefull Links
  • Contact
  • Privacy Policy
  • Terms & Conditions
  • DMCA

© 2024 americanfocus.online –  All Rights Reserved.

Welcome Back!

Sign in to your account

Lost your password?