ArticleSensors (Basel, Switzerland)2020
Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits.
Article in Sensors (Basel, Switzerland), 2020. 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, 38 citations in OpenAlex.
- Development and usability testing of a depth camera-based web application for functionally relevant foot kinematics analysis.Frontiers in medical technology · 2025Article
- Multifractal detrended fluctuation analysis of insole pressure sensor data to diagnose vestibular system disorders.Biomedical engineering letters · 2023Article
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- Prediction of Joint Angles Based on Human Lower Limb Surface Electromyography.Sensors (Basel, Switzerland) · 2023Article
- Ground-Reaction-Force-Based Gait Analysis and Its Application to Gait Disorder Assessment: New Indices for Quantifying Walking Behavior.Sensors (Basel, Switzerland) · 2022Article
- Article
- Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices.Computational intelligence and neuroscience · 2022Article
- Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches.Frontiers in pain research (Lausanne, Switzerland) · 2022Review
- Ambulatory Human Gait Phase Detection Using Wearable Inertial Sensors and Hidden Markov Model.Sensors (Basel, Switzerland) · 2021Article
- Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction.Sensors (Basel, Switzerland) · 2021Review
- Evaluation of the Validity, Reliability, and Kinematic Characteristics of Multi-Segment Foot Models in Motion Capture.Sensors (Basel, Switzerland) · 2020Article
- Low-Cost Automated Design of Compact Branch-Line Couplers.Sensors (Basel, Switzerland) · 2020Article
- Characterizing Human Box-Lifting Behavior Using Wearable Inertial Motion Sensors.Sensors (Basel, Switzerland) · 2020Article
- Deep Learning Approaches for Detecting Freezing of Gait in Parkinson's Disease Patients through On-Body Acceleration Sensors.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human gait reflects health condition and is widely adopted as a diagnostic basisin clinical practice. This research adopts compact inertial sensor nodes to monitor the functionof human lower limbs, which implies the most fundamental locomotion ability. The proposedwearable gait analysis system captures limb motion and reconstructs 3D models with high accuracy.It can output the kinematic parameters of joint flexion and extension, as well as the displacementdata of human limbs. The experimental results provide strong support for quick access to accuratehuman gait data. This paper aims to provide a clue for how to learn more about gait postureand how wearable gait analysis can enhance clinical outcomes. With an ever-expanding gait database,it is possible to help physiotherapists to quickly discover the causes of abnormal gaits, sports injuryrisks, and chronic pain, and provides guidance for arranging personalized rehabilitation programsfor patients. The proposed framework may eventually become a useful tool for continually monitoringspatio-temporal gait parameters and decision-making in an ambulatory environment.
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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.