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

You might also read

Related Articles

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

Sort by
Same author

Customizing Tactile Sensors via Machine Learning-Driven Inverse Design.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Self-Evolution of Hybrid Data-Physics Equipment Digital Twin Using Meta Learning and Continual Learning.

IEEE transactions on cybernetics·2026
Same author

Advanced Electrochemical Sensors for Rapid and Sensitive Monitoring of Tryptophan and Tryptamine in Clinical Diagnostics.

Biosensors·2025
Same author

Fecal volatile organic compounds for colorectal cancer detection: A systematic review and meta-analysis.

Computers in biology and medicine·2025
Same author

An Inferential Model for Understanding the Effects of Demographic and Gait Factors and Their Interactions on the Human Gait Index: A Beta Regression Approach.

IEEE journal of biomedical and health informatics·2025
Same author

Wearable PPG Based BP Estimation Methods: A Systematic Review and Meta-Analysis.

IEEE journal of biomedical and health informatics·2025

Related Experiment Video

Updated: Mar 3, 2026

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
09:27

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills

Published on: January 19, 2024

1.8K

Technique to estimate human reaction time based on visual perception.

Reza Abbasi-Kesbi1, Hamidreza Memarzadeh-Tehran1, M Jamal Deen2

  • 1Department of Network Science and Technology, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.

Healthcare Technology Letters
|May 3, 2017
PubMed
Summary
This summary is machine-generated.

This study presents a wearable system using wireless motion sensors to accurately measure human reaction time (HRT) to visual stimuli. Fatigue significantly increases HRT by 40-87%.

Keywords:
HRTbiomechanicsfatiguefatigue levelsfrequency 2.45 GHzgyroscopegyroscopeshuman reaction timemean errormean square error methodsrecognition testroot mean square errorsimple teststandard deviation errortelemedicinetime 0.35 mstime 3.34 mstime 7.83 mstransceivertransceiversvisual perceptionvisual stimuluswearable systemwireless motion sensorswireless sensor networks

More Related Videos

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.4K
Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.6K

Related Experiment Videos

Last Updated: Mar 3, 2026

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
09:27

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills

Published on: January 19, 2024

1.8K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.4K
Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.6K

Area of Science:

  • Biomedical Engineering
  • Human Factors Engineering
  • Wearable Technology

Background:

  • Accurate measurement of human reaction time (HRT) is crucial for assessing cognitive function and performance.
  • Existing methods for HRT measurement can be cumbersome or lack portability.
  • Wearable systems offer a promising avenue for convenient and real-time HRT estimation.

Purpose of the Study:

  • To design and implement a wearable system for estimating human reaction time (HRT) to visual stimuli.
  • To evaluate the accuracy of the wearable system by comparing its results with a computer-based system.
  • To investigate the impact of fatigue on HRT using the developed system.

Main Methods:

  • Development of a wearable system comprising two identical wireless motion sensors, each with a gyroscope, processor, and 2.45 GHz transceiver.
  • Conducting HRT tests in two scenarios: simple reaction time and recognition reaction time tests.
  • Performing 90 pairs of measurements and comparing the wearable system's data with a computer-based reference system.

Main Results:

  • The wearable system demonstrated high accuracy, with root mean square errors of 2.88 ms (simple test) and 3.34 ms (recognition test).
  • Mean errors were as low as 0.3 ms for the simple test and 0.35 ms for the recognition test.
  • HRT was found to increase significantly (40-87%) with increased levels of fatigue.

Conclusions:

  • The developed wearable system provides an accurate and reliable method for estimating human reaction time.
  • The system effectively captures the impact of fatigue on human reaction time.
  • This technology has potential applications in fields requiring real-time performance monitoring, such as sports, driving, and occupational safety.