ArticleFrontiers in digital health2021
Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors.
Article in Frontiers in digital health, 2021. 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.
- Concurrent validity of wearable IMUs for sagittal plane lower-limb range of motion during walking and estimated ground reaction forces: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2025Pooled it
- Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease.Annals of clinical and translational neurology · 2026Article
- Spatiotemporal gait assessment as an indicator of patient satisfaction after arthroscopic partial meniscectomy.Wiener klinische Wochenschrift · 2026Observational
- Associations between knee extensor strength and gait characteristics derived from shoe-based wearable sensors in older women.Scientific reports · 2026Article
- IMU-Based Wearable Insoles in Clinical Settings: Key Parameters Differentiating Clinical and Non-Clinical Populations.Sensors (Basel, Switzerland) · 2026Article
- A Reliability Study of Small, Portable, Easy-to-Use, and IMU-Based Sensors for Gait Assessment.Sensors (Basel, Switzerland) · 2025Article
- Relationships between hand grip strength and gait parameters measured using a foot-mounted sensor in non-laboratory settings in older women.Scientific reports · 2025Article
- A Review of Gait Analysis Using Gyroscopes and Inertial Measurement Units.Sensors (Basel, Switzerland) · 2025Review
- Possible influence of sex on the relationship between dual-task gait costs and cognitive decline in older adults.PloS one · 2025Article
- Enhancing Intelligent Shoes with Gait Analysis: A Review on the Spatiotemporal Estimation Techniques.Sensors (Basel, Switzerland) · 2024Review
- Foot orientation and trajectory variability in locomotion: Effects of real-world terrain.PloS one · 2024Article
- Upper limb movement quality measures: comparing IMUs and optical motion capture in stroke patients performing a drinking task.Frontiers in digital health · 2024Article
- Can inertial measurement unit sensors evaluate foot kinematics in drop foot patients using functional electrical stimulation?Frontiers in human neuroscience · 2023Article
- Inertial sensors for gait monitoring and design of adaptive controllers for exoskeletons after stroke: a feasibility study.Frontiers in bioengineering and biotechnology · 2023Article
- Validation of Non-Restrictive Inertial Gait Analysis of Individuals with Incomplete Spinal Cord Injury in Clinical Settings.Sensors (Basel, Switzerland) · 2022Article
- Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.Frontiers in human neuroscience · 2022Review
- Short-term effect of Transcutaneous Spinal Cord Stimulation in patients with multiple sclerosis: a randomized sham-controlled crossover study.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Walking is a central activity of daily life, and there is an increasing demand for objective measurement-based gait assessment. In contrast to stationary systems, wearable inertial measurement units (IMUs) have the potential to enable non-restrictive and accurate gait assessment in daily life. We propose a set of algorithms that uses the measurements of two foot-worn IMUs to determine major spatiotemporal gait parameters that are essential for clinical gait assessment: durations of five gait phases for each side as well as stride length, walking speed, and cadence. Compared to many existing methods, the proposed algorithms neither require magnetometers nor a precise mounting of the sensor or dedicated calibration movements. They are therefore suitable for unsupervised use by non-experts in indoor as well as outdoor environments. While previously proposed methods are rarely validated in pathological gait, we evaluate the accuracy of the proposed algorithms on a very broad dataset consisting of 215 trials and three different subject groups walking on a treadmill: healthy subjects (
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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.