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

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

37
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
37
Taping Over Different Ground Profiles01:12

Taping Over Different Ground Profiles

27
Taping over varying ground profiles requires careful adaptation to achieve accurate measurements. On smooth, level ground with minimal vegetation, the tape can rest directly on the ground. Here, the taping team, typically consisting of a head and a rear tapeman, coordinates their positions with clear communication. The rear tapeman holds the tape at the starting point and guides the head tapeman toward a range pole placed beyond the endpoint, using hand or voice signals to ensure alignment.On...
27
Distance Measurements by Taping01:18

Distance Measurements by Taping

43
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
43
Errors in Taping01:18

Errors in Taping

27
Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
27
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

37
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
37
Distance Corrections01:15

Distance Corrections

28
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
28

You might also read

Related Articles

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

Sort by
Same author

Stakeholder Perceptions of Sustainable Infrastructure Project Delivery: A Comparative Analysis between Guangdong, Hong Kong, and Macao.

Journal of environmental and public health·2022
Same author

Increased copy number of mitochondrial DNA predicts poor prognosis of esophageal squamous cell carcinoma.

Oncology letters·2018
Same author

Del17p does not always significantly influence the survival of B-cell chronic lymphoproliferative disorders.

Oncotarget·2018
Same author

Processing bulk natural wood into a high-performance structural material.

Nature·2018
Same author

Retrospective study of paraneoplastic neurological syndromes in a Chinese Han population from Shandong, East China.

The International journal of neuroscience·2018
Same author

Genetics of Magnesium Disorders.

Kidney diseases (Basel, Switzerland)·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 9, 2025

Measurement of the Hand Transmitted Vibration of the Human Hand Arm System During Operation of a Hand Tractor
09:35

Measurement of the Hand Transmitted Vibration of the Human Hand Arm System During Operation of a Hand Tractor

Published on: June 16, 2021

4.4K

Measuring Labor Input: Construction Activity Counting Using IMU on Hand Tools.

Xincong Yang1,2, Yantao Yu3, Heng Li2

  • 1School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using Inertial Measurement Unit (IMU) sensors on hand tools to precisely measure construction labor input. This innovation offers a significant improvement over traditional manual inspection methods for project management.

Keywords:
IMU sensoractivity repetition countingconstruction control and managementconstruction hand toolslabor input measurementquantitative analysis

More Related Videos

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.0K
Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions
08:07

Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions

Published on: May 26, 2023

1.2K

Related Experiment Videos

Last Updated: Jul 9, 2025

Measurement of the Hand Transmitted Vibration of the Human Hand Arm System During Operation of a Hand Tractor
09:35

Measurement of the Hand Transmitted Vibration of the Human Hand Arm System During Operation of a Hand Tractor

Published on: June 16, 2021

4.4K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.0K
Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions
08:07

Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions

Published on: May 26, 2023

1.2K

Area of Science:

  • Construction Management
  • Engineering
  • Sensor Technology

Background:

  • Accurate labor input measurement is crucial for construction project success.
  • Traditional manual inspection methods are inefficient, offline, and lack precision.
  • Existing methods fail to capture the true effectiveness of labor on-site.

Purpose of the Study:

  • To develop a novel, automated method for measuring labor input during construction.
  • To leverage Inertial Measurement Unit (IMU) sensors attached to hand tools.
  • To enable timely and precise quantification of labor input for improved project management.

Main Methods:

  • Utilized Inertial Measurement Unit (IMU) sensors affixed to hand tools.
  • Implemented a three-step process: temporal-spatial feature extraction, self-similarity matrix calculation, and local specific structure identification.
  • Developed a prototype and conducted a pilot study focusing on rotation counting for screw-connection tasks.

Main Results:

  • Demonstrated the effectiveness and efficiency of IMU sensors for labor input measurement.
  • Achieved a relative error of less than 5% when comparing predicted results to ground truth.
  • Validated the hypothesis that repetitive hand tool data can be converted into quantitative labor input measures.

Conclusions:

  • IMU sensors on hand tools provide a viable and accurate solution for measuring construction labor input.
  • The developed method offers a significant advancement over conventional inspection techniques.
  • Future work will focus on refining activity segmentation and feature extraction for enhanced accuracy and insights.