ArticleSensors (Basel, Switzerland)2014
Whole body center of mass estimation with portable sensors: using the statically equivalent serial chain and a Kinect.
Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- The effect of model complexity on the human center of mass estimation using the statically equivalent serial chain technique.Scientific reports · 2023Article
- Evaluation of center of mass estimation for obese using statically equivalent serial chain.Scientific reports · 2022Article
- Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson's Disease: An Integrated Approach Based on Azure Kinect.Sensors (Basel, Switzerland) · 2022Article
- Detection of Postural Control in Young and Elderly Adults Using Deep and Machine Learning Methods with Joint-Node Plots.Sensors (Basel, Switzerland) · 2021Article
- Kinect V2-Based Gait Analysis for Children with Cerebral Palsy: Validity and Reliability of Spatial Margin of Stability and Spatiotemporal Variables.Sensors (Basel, Switzerland) · 2021Article
- Anxiety sensitivity and bodily kinematics.Behaviour research and therapy · 2020Article
- An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment.Sensors (Basel, Switzerland) · 2020Article
- An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders.Sensors (Basel, Switzerland) · 2020Article
- Study of Postural Stability Features by Using Kinect Depth Sensors to Assess Body Joint Coordination Patterns.Sensors (Basel, Switzerland) · 2020Article
- Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson's Disease.Sensors (Basel, Switzerland) · 2019Article
- Article
- Virtual Reality-Based Center of Mass-Assisted Personalized Balance Training System.Frontiers in bioengineering and biotechnology · 2017Article
- Pose estimation with a Kinect for ergonomic studies: evaluation of the accuracy using a virtual mannequin.Sensors (Basel, Switzerland) · 2015Article
- MoRe-T2 (mobility research trajectory tracker): validation and application.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The trajectory of the whole body center of mass (CoM) is useful as a reliable metric of postural stability. If the evaluation of a subject-specific CoM were available outside of the laboratory environment, it would improve the assessment of the effects of physical rehabilitation. This paper develops a method that enables tracking CoM position using low-cost sensors that can be moved around by a therapist or easily installed inside a patient's home. Here, we compare the accuracy of a personalized CoM estimation using the statically equivalent serial chain (SESC) method and measurements obtained with the Kinect to the case of a SESC obtained with high-end equipment (Vicon). We also compare these estimates to literature-based ones for both sensors. The method was validated with seven able-bodied volunteers for whom the SESC was identified using 40 static postures. The literature-based estimation with Vicon measurements had a average error 24.9 ± 3.7 mm; this error was reduced to 12.8 ± 9.1 mm with the SESC identification. When using Kinect measurements, the literature-based estimate had an error of 118.4 ± 50.0 mm, while the SESC error was 26.6 ± 6.0 mm. The subject-specific SESC estimate using low-cost sensors has an equivalent performance as the literature-based one with high-end sensors. The SESC method can improve CoM estimation of elderly and neurologically impaired subjects by considering variations in their mass distribution.
Indexed as
Identifiers
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.