ArticlePeerJ2015
Subject-specific body segment parameter estimation using 3D photogrammetry with multiple cameras.
Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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
13 citing papers in PubMed, 39 citations in OpenAlex.
- System for Estimation of Human Anthropometric Parameters Based on Data from Kinect v2 Depth Camera.Sensors (Basel, Switzerland) · 2023Article
- Wearable devices for continuous monitoring of biosignals: Challenges and opportunities.APL bioengineering · 2022Review
- Article
- Quantifying avian inertial properties using calibrated computed tomography.The Journal of experimental biology · 2022Article
- Biosymbiotic, personalized, and digitally manufactured wireless devices for indefinite collection of high-fidelity biosignals.Science advances · 2021Article
- Convex hull estimation of mammalian body segment parameters.Royal Society open science · 2021Article
- Review
- Multiple measures derived from 3D photonic body scans improve predictions of fat and muscle mass in young Swiss men.PloS one · 2020Article
- Single camera multi-view anthropometric measurement of human height and mid-upper arm circumference using linear regression.PloS one · 2018Article
- A low-cost three-dimensional laser surface scanning approach for defining body segment parameters.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2017Article
- A quantitative evaluation of physical and digital approaches to centre of mass estimation.Journal of anatomy · 2017Article
- Article
- An advanced shape-fitting algorithm applied to quadrupedal mammals: improving volumetric mass estimates.Royal Society open science · 2015Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inertial properties of body segments, such as mass, centre of mass or moments of inertia, are important parameters when studying movements of the human body. However, these quantities are not directly measurable. Current approaches include using regression models which have limited accuracy: geometric models with lengthy measuring procedures or acquiring and post-processing MRI scans of participants. We propose a geometric methodology based on 3D photogrammetry using multiple cameras to provide subject-specific body segment parameters while minimizing the interaction time with the participants. A low-cost body scanner was built using multiple cameras and 3D point cloud data generated using structure from motion photogrammetric reconstruction algorithms. The point cloud was manually separated into body segments, and convex hulling applied to each segment to produce the required geometric outlines. The accuracy of the method can be adjusted by choosing the number of subdivisions of the body segments. The body segment parameters of six participants (four male and two female) are presented using the proposed method. The multi-camera photogrammetric approach is expected to be particularly suited for studies including populations for which regression models are not available in literature and where other geometric techniques or MRI scanning are not applicable due to time or ethical constraints.
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What OpenQuestion holds
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.