Trial reportApplied ergonomics2018
Accuracy of angular displacements and velocities from inertial-based inclinometers.
Trial report in Applied ergonomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Conversion of Upper-Limb Inertial Measurement Unit Data to Joint Angles: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Comparison of Six Sensor Fusion Algorithms with Electrogoniometer Estimation of Wrist Angle in Simulated Work Tasks.Sensors (Basel, Switzerland) · 2024Article
- Article
- Drift-Free Joint Angle Calculation Using Inertial Measurement Units without Magnetometers: An Exploration of Sensor Fusion Methods for the Elbow and Wrist.Sensors (Basel, Switzerland) · 2023Article
- Biomechanical Consequences of Using Passive and Active Back-Support Exoskeletons during Different Manual Handling Tasks.International journal of environmental research and public health · 2023Article
- Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics-An Overview of Current Applications, Challenges, and Future Opportunities.Sensors (Basel, Switzerland) · 2023Review
- Surgeons' physical workload in open surgery versus robot-assisted surgery and nonsurgical tasks.Surgical endoscopy · 2022Article
- Validity and Reliability of a Novel Smartphone Tele-Assessment Solution for Quantifying Hip Range of Motion.Sensors (Basel, Switzerland) · 2022Article
- User-Centered Design Methodologies for the Prototype Development of a Smart Harness and Related System to Provide Haptic Cues to Persons with Parkinson's Disease.Sensors (Basel, Switzerland) · 2022Article
- Concerning a Work Movement Velocity Action Level Proposed in "Action Levels for the Prevention of Work-Related Musculoskeletal Disorders in the Neck and Upper Extremities: A Proposal" by Inger Arvidsson et al. (2021).Annals of work exposures and health · 2022Article
- Effects of Sensor Types and Angular Velocity Computational Methods in Field Measurements of Occupational Upper Arm and Trunk Postures and Movements.Sensors (Basel, Switzerland) · 2021Article
- Comparing upper arm and trunk kinematics between manufacturing workers performing predominantly cyclic and non-cyclic work tasks.Applied ergonomics · 2021Article
- Measuring upper arm elevation using an inertial measurement unit: An exploration of sensor fusion algorithms and gyroscope models.Applied ergonomics · 2020Article
- Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison.Biomedical engineering online · 2020Article
- A Narrative Review on Contemporary and Emerging Uses of Inertial Sensing in Occupational Ergonomics.International journal of industrial ergonomics · 2020Article
- Whole-Body Vibration and Trunk Posture During Operation of Agricultural Machinery.Annals of work exposures and health · 2018Article
- Biomechanical factors during common agricultural activities: Results of on-farm exposure assessments using direct measurement methods.Journal of occupational and environmental hygieneArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The objective of this study was to evaluate the accuracy of various sensor fusion algorithms for measuring upper arm elevation relative to gravity (i.e., angular displacement and velocity summary measures) across different motion speeds. Thirteen participants completed a cyclic, short duration, arm-intensive work task that involved transfering wooden dowels at three work rates (slow, medium, fast). Angular displacement and velocity measurements of upper arm elevation were simultaneously measured using an inertial measurement unit (IMU) and an optical motion capture (OMC) system. Results indicated that IMU-based inclinometer solutions can reduce root-mean-square errors in comparison to accelerometer-based inclination estimates by as much as 87%, depending on the work rate and sensor fusion approach applied. The findings suggest that IMU-based inclinometers can substantially improve inclinometer accuracy in comparison to traditional accelerometer-based inclinometers. Ergonomists may use the non-proprietary sensor fusion algorithms provided here to more accurately estimate upper arm elevation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.