ArticleJournal of neuroengineering and rehabilitation2018
Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset.
Article in Journal of neuroengineering and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 74 citations in OpenAlex.
- A Real-Time Inertial Sensor-Based Diagnostic Support System for Improving Angular Accuracy in Dental Implant Placement: Preclinical Experimental Validation in a 3D Haptic Simulation Model.Dentistry journal · 2026Article
- Foot Progression Angle Modulates Three-Dimensional Lower-Limb Biomechanics in Flexible Flatfoot: Kinematic-Kinetic Patterns and Clinical Implications.Journal of foot and ankle research · 2026Article
- Emerging Applications of Augmented and Mixed Reality Technologies in Motor Rehabilitation: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Two decades of breakthroughs: charting the future of NeuroEngineering and Rehabilitation.Journal of neuroengineering and rehabilitation · 2025Article
- Utility and Usability of Two Forms of Supplemental Vibrotactile Kinesthetic Feedback for Enhancing Movement Accuracy and Efficiency in Goal-Directed Reaching.Sensors (Basel, Switzerland) · 2023Article
- The use of technology to support lifestyle interventions in knee osteoarthritis: A scoping review.Osteoarthritis and cartilage open · 2023Article
- Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke.Sensors (Basel, Switzerland) · 2023Article
- Three-Dimensional Lower-Limb Kinematics from Accelerometers and Gyroscopes with Simple and Minimal Functional Calibration Tasks: Validation on Asymptomatic Participants.Sensors (Basel, Switzerland) · 2022Article
- Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review.JMIR rehabilitation and assistive technologies · 2022Review
- Reducing Slip Risk: A Feasibility Study of Gait Training with Semi-Real-Time Feedback of Foot-Floor Contact Angle.Sensors (Basel, Switzerland) · 2022Article
- Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.Sensors (Basel, Switzerland) · 2022Article
- Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation.Sensors (Basel, Switzerland) · 2022Review
- Assessing Respiratory Activity by Using IMUs: Modeling and Validation.Sensors (Basel, Switzerland) · 2022Article
- The Microsoft HoloLens 2 Provides Accurate Measures of Gait, Turning, and Functional Mobility in Healthy Adults.Sensors (Basel, Switzerland) · 2022Article
- Taking Both Sides: Seeking Symbiosis Between Intelligent Prostheses and Human Motor Control during Locomotion.Current opinion in biomedical engineering · 2021Article
- Applications of Pose Estimation in Human Health and Performance across the Lifespan.Sensors (Basel, Switzerland) · 2021Review
- Foot progression angle estimation using a single foot-worn inertial sensor.Journal of neuroengineering and rehabilitation · 2021Article
- Learning Gait Modifications for Musculoskeletal Rehabilitation: Applying Motor Learning Principles to Improve Research and Clinical Implementation.Physical therapy · 2021Article
- Augmented Reality-Based Rehabilitation of Gait Impairments: Case Report.JMIR mHealth and uHealth · 2020Article
- A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGait retraining interventions using real-time biofeedback have been proposed to alter the loading across the knee joint in patients with knee osteoarthritis. Despite the demonstrated benefits of these conservative treatments, their clinical adoption is currently obstructed by the high complexity, spatial demands, and cost of optical motion capture systems. In this study we propose and evaluate a wearable visual feedback system for gait retraining of the foot progression angle (FPA).
methodsThe primary components of the system are inertial measurement units, which track the human movement without spatial limitations, and an augmented reality headset used to project the visual feedback in the visual field. The adapted gait protocol contained five different target angles ranging from 15 degrees toe-out to 5 degrees toe-in. Eleven healthy participants walked on an instrumented treadmill, and the protocol was performed using both an established laboratory visual feedback driven by optical motion capture, and the proposed wearable system. RESULTS AND
conclusionsThe wearable system tracked FPA with an accuracy of 2.4 degrees RMS and ICC=0.94 across all target angles and subjects, when compared to an optical motion capture reference. In addition, the effectiveness of the biofeedback, reflected by the number of steps with FPA value ±2 degrees from the target, was found to be around 50% in both wearable and laboratory approaches. These findings demonstrate that retraining of the FPA using wearable inertial sensing and visual feedback is feasible with effectiveness matching closely an established laboratory method. The proposed wearable setup may reduce the complexity of gait retraining applications and facilitate their transfer to routine clinical practice.
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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.