ArticleFrontiers in bioengineering and biotechnology2020
Estimating Movement Smoothness From Inertial Measurement Units.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
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Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Smoothness metrics for reaching performance after stroke. Part 1: which one to choose?Journal of neuroengineering and rehabilitation · 2021Pooled it
- Cognitive-motor dual-task training improves dynamic stability during straight and curved gait in patients with multiple sclerosis: a randomized controlled trial.European journal of physical and rehabilitation medicine · 2024Trial
- Vestibular Rehabilitation Improves Gait Quality and Activities of Daily Living in People with Severe Traumatic Brain Injury: A Randomized Clinical Trial.Sensors (Basel, Switzerland) · 2022Trial
- Real-Time Physiological Fatigue Prediction for Human-Robot Collaborative Manufacturing Using Wearable Sensor Fusion and Hybrid Deep Learning: An In Silico Digital Twin Study.Sensors (Basel, Switzerland) · 2026Article
- Applications of Reinforcement Learning for Autonomous Surgical Robotics: A Systematic Review.Biomimetics (Basel, Switzerland) · 2026Review
- Older Adult Movement Assessment Through Rehabilitation Software for Upper Limb Exoskeleton.Sensors (Basel, Switzerland) · 2026Article
- Risk factors associated with sports related injury severity in adolescents: a prospective study over a single season of sport.BMC sports science, medicine & rehabilitation · 2026Article
- Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning.Scientific reports · 2026Article
- IMU-based rotator cuff injury recognition with varying configurations and combinations.Frontiers in physiology · 2026Article
- A structural causal model for robot-assisted upper-limb neurorehabilitation.Frontiers in rehabilitation sciences · 2026Article
- Movement smoothness and turning deficits during the timed up and go in older adults with chronic neck pain.Frontiers in sports and active living · 2026Article
- Lower limb motor effects of DBS neurofeedback in Parkinson's disease assessed through IMU-based UPDRS movement quality metrics.Scientific reports · 2025Article
- Non-Linear Gait Dynamics Are Affected by Commonly Occurring Outdoor Surfaces and Sex in Healthy Adults.Sensors (Basel, Switzerland) · 2025Article
- Evaluating the Usability of Inertial Measurement Units for Measuring and Monitoring Activity Post-Stroke: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Use of posterior probabilities from a long short-term memory network for characterizing dance behavior with multiple accelerometers.Journal of Alzheimer's disease : JAD · 2025Article
- Validation of Low-Cost IMUs for Telerehabilitation Exercises.Sensors (Basel, Switzerland) · 2025Article
- Test-Retest Reliability and Minimal Detectable Changes for Wearable Sensor-Derived Gait Stability, Symmetry, and Smoothness in Individuals with Severe Traumatic Brain Injury.Sensors (Basel, Switzerland) · 2025Article
- In Parkinson's disease, dual-tasking reduces gait smoothness during the straight-walking and turning-while-walking phases of the Timed Up and Go test.BMC sports science, medicine & rehabilitation · 2025Article
- Smooth Moves: Comparing Log Dimensionless Jerk Metrics from Body Center of Mass Trajectory and Wearable Sensor Acceleration During Walking.Sensors (Basel, Switzerland) · 2025Article
- Motion Smoothness Analysis of the Gait Cycle, Segmented by Stride and Associated with the Inertial Sensors' Locations.Sensors (Basel, Switzerland) · 2025Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Inertial measurement units (IMUs) are increasingly used to estimate movement quality and quantity to the infer the nature of motor behavior. The current literature contains several attempts to estimate movement smoothness using data from IMUs, many of which assume that the translational and rotational kinematics measured by IMUs can be directly used with the smoothness measures spectral arc length (SPARC) and log dimensionless jerk (LDLJ-V). However, there has been no investigation of the validity of these approaches. In this paper, we systematically evaluate the use of these measures on the kinematics measured by IMUs. We show that: (a) SPARC and LDLJ-V are valid measures of smoothness only when used with velocity; (b) SPARC and LDLJ-V applied on translational velocity reconstructed from IMU is highly error prone due to drift caused by integration of reconstruction errors; (c) SPARC can be applied directly on rotational velocities measured by a gyroscope, but LDLJ-V can be error prone. For discrete translational movements, we propose a modified version of the LDLJ-V measure, which can be applied to acceleration data (LDLJ-A). We evaluate the performance of these measures using simulated and experimental data. We demonstrate that the accuracy of LDLJ-A depends on the time profile of IMU orientation reconstruction error. Finally, we provide recommendations for how to appropriately apply these measures in practice under different scenarios, and highlight various factors to be aware of when performing smoothness analysis using IMU data.
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