ArticleSensors (Basel, Switzerland)2023
Center of Mass Estimation Using a Force Platform and Inertial Sensors for Balance Evaluation in Quiet Standing.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Daily fall risk assessment for older adults using a balance sensor with machine learning.Frontiers in public health · 2026Article
- Kinematic modeling of musculoskeletal systems considering muscle inertia for monoarticular muscles.Scientific reports · 2025Article
- The Development and Validation of a Novel Smartphone Application to Detect Postural Instability.Sensors (Basel, Switzerland) · 2025Article
- Center of Mass Estimation During Single-Leg Standing Using a Force Platform and Inertial Sensors.Sensors (Basel, Switzerland) · 2025Article
- Properties of standing balance control under noisy galvanic vestibular stimulation.Frontiers in neurology · 2025Article
- Estimating whole-body centre of mass sway during quiet standing with inertial measurement units.PloS one · 2025Article
- Implementation of the sensory organization test with the CAREN system: a pilot study.Frontiers in bioengineering and biotechnology · 2025Article
- Postural Sway Velocity of Deaf Children with and without Vestibular Dysfunction.Sensors (Basel, Switzerland) · 2024Article
- The Three-Dimensional Body Center of Mass at the Workplace under Hypogravity.Bioengineering (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate estimation of the center of mass is necessary for evaluating balance control during quiet standing. However, no practical center of mass estimation method exists because of problems with estimation accuracy and theoretical validity in previous studies that used force platforms or inertial sensors. This study aimed to develop a method for estimating the center of mass displacement and velocity based on equations of motion describing the standing human body. This method uses a force platform under the feet and an inertial sensor on the head and is applicable when the support surface moves horizontally. We compared the center of mass estimation accuracy of the proposed method with those of other methods in previous studies using estimates from the optical motion capture system as the true value. The results indicate that the present method has high accuracy in quiet standing, ankle motion, hip motion, and support surface swaying in anteroposterior and mediolateral directions. The present method could help researchers and clinicians to develop more accurate and effective balance evaluation methods.
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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.