ArticleScientific reports2023
Integration of force and IMU sensors for developing low-cost portable gait measurement system in lower extremities.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Digital Technologies and Biomarkers for Locomotor Capacity Assessment in Older Adults: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Evaluation of the biomechanics of lower limbs in normal, overweight, and obese people using the SMART F-IMU system.Scientific reports · 2026Article
- Assessing the Validity and Reliability of a Single Lumbar-Mounted IMU System for Gait Analysis.Sensors (Basel, Switzerland) · 2025Article
- Wearable technologies for assisted mobility in the real world.Nature communications · 2025Review
- Gait analysis for Parkinson's disease using multiscale entropy.Neurodegenerative disease management · 2025Review
- Real-Time Detection of Distracted Walking Using Smartphone IMU Sensors with Personalized and Emotion-Aware Modeling.Sensors (Basel, Switzerland) · 2025Article
- Reduced Motor Individuality in Older Adults Revealed by Network-Based Gait Fingerprinting.Medicina (Kaunas, Lithuania) · 2025Article
- Use of Smartphone-Based Experimental Data for the Calibration of Biodynamic Spring-Mass-Damper (SMD) Pedestrian Models.Sensors (Basel, Switzerland) · 2025Article
- Sensor-based technologies for motion analysis in sports injuries: a scoping review.BMC sports science, medicine & rehabilitation · 2025Article
- Reliability of sitting posture between physical therapist video-based evaluation and SMART IMU system using rapid upper limb assessment (RULA).Scientific reports · 2025Article
- Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer.Scientific data · 2025Article
- Novel Cost-Effective and Portable Three-Dimensional Force Measurement System for Biomechanical Analysis: A Reliability and Validity Study.Sensors (Basel, Switzerland) · 2024Article
- Enhancing Intelligent Shoes with Gait Analysis: A Review on the Spatiotemporal Estimation Techniques.Sensors (Basel, Switzerland) · 2024Review
- Movement Sensing Opportunities for Monitoring Dynamic Cognitive States.Sensors (Basel, Switzerland) · 2024Review
- AI-Aided Gait Analysis with a Wearable Device Featuring a Hydrogel Sensor.Sensors (Basel, Switzerland) · 2024Article
- Adaptive Detection in Real-Time Gait Analysis through the Dynamic Gait Event Identifier.Bioengineering (Basel, Switzerland) · 2024Article
- Accuracy validation of a wearable IMU-based gait analysis in healthy female.BMC sports science, medicine & rehabilitation · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gait analysis is the method to accumulate walking data. It is useful in diagnosing diseases, follow-up of symptoms, and rehabilitation post-treatment. Several techniques have been developed to assess human gait. In the laboratory, gait parameters are analyzed by using a camera capture and a force plate. However, there are several limitations, such as high operating costs, the need for a laboratory and a specialist to operate the system, and long preparation time. This paper presents the development of a low-cost portable gait measurement system by using the integration of flexible force sensors and IMU sensors in outdoor applications for early detection of abnormal gait in daily living. The developed device is designed to measure ground reaction force, acceleration, angular velocity, and joint angles of the lower extremities. The commercialized device, including the motion capture system (Motive-OptiTrack) and force platform (MatScan), is used as the reference system to validate the performance of the developed system. The results of the system show that it has high accuracy in measuring gait parameters such as ground reaction force and joint angles in lower limbs. The developed device has a strong correlation coefficient compared with the commercialized system. The percent error of the motion sensor is below 8%, and the force sensor is lower than 3%. The low-cost portable device with a user interface was successfully developed to measure gait parameters for non-laboratory applications to support healthcare applications.
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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.