ArticleSensors (Basel, Switzerland)2021
Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 30 citations in OpenAlex.
- Validity of Wearable Inertial Sensors for Postural Sway Analysis: A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- Prediction of Center-of-Mass Kinematics of Sensopro Exercises with Neural Network Models.Sensors (Basel, Switzerland) · 2026Article
- Distinct patterns in neuromuscular adaptation to repeated perturbations in chronic ankle instability.Journal of neuroengineering and rehabilitation · 2025Article
- Center of Mass Estimation During Single-Leg Standing Using a Force Platform and Inertial Sensors.Sensors (Basel, Switzerland) · 2025Article
- Estimating whole-body centre of mass sway during quiet standing with inertial measurement units.PloS one · 2025Article
- Exploration of Inertial Sensor-Derived Kinematic Predictors for Dynamic Balance Assessment in the Active Adult.Open access journal of sports medicine · 2025Article
- Posturography Approaches: An Insightful Window to Explore the Role of the Brain in Socio-Affective Processes.Brain sciences · 2023Article
- The Three-Dimensional Body Center of Mass at the Workplace under Hypogravity.Bioengineering (Basel, Switzerland) · 2023Article
- A new kinematic dataset of lower limbs action for balance testing.Scientific data · 2023Article
- Experimental protocol to investigate cortical, muscular and body representation alterations in adolescents with idiopathic scoliosis.PloS one · 2023Article
- Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate.Sensors (Basel, Switzerland) · 2022Article
- Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males.Sensors (Basel, Switzerland) · 2022Article
- Cortical correlates in upright dynamic and static balance in the elderly.Scientific reports · 2021Article
- State-Space Characterization of Balance Capabilities in Biped Systems with Segmented Feet.Frontiers in robotics and AI · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The estimation of the body's center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors' network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters.
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