ArticleSensors (Basel, Switzerland)2019
Analyzing Gait in the Real World Using Wearable Movement Sensors and Frequently Repeated Movement Paths.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Real-world data capture of daily limb loading using force-sensing insoles: Feasibility and lessons learned.Journal of biomechanics · 2024Trial
- Clinical applications of wearable sensor-based gait analysis in athletes: a systematic review for injury prevention and rehabilitation.BMC sports science, medicine & rehabilitation · 2026Article
- Repeatability of Inertial Measurements of Spinal Posture in Daily Life.Sensors (Basel, Switzerland) · 2025Article
- Adapting lateral stepping control to walk on winding paths.Journal of biomechanics · 2025Article
- Impact-Aware Foot Motion Reconstruction and Ramp/Stair Detection Using One Foot-Mounted Inertial Measurement Unit.Sensors (Basel, Switzerland) · 2024Article
- Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- Wearable sensing for understanding and influencing human movement in ecological contexts.Current opinion in biomedical engineering · 2023Article
- Are Rotations and Translations of Head Posture Related to Gait and Jump Parameters?Journal of clinical medicine · 2023Article
- Challenges and advances in the use of wearable sensors for lower extremity biomechanics.Journal of biomechanics · 2023Article
- Using Deep Learning to Predict Minimum Foot-Ground Clearance Event from Toe-Off Kinematics.Sensors (Basel, Switzerland) · 2022Article
- A Scoping Review on Minimum Foot Clearance Measurement: Sensing Modalities.International journal of environmental research and public health · 2021Article
- Custom IMU-Based Wearable System for Robust 2.4 GHz Wireless Human Body Parts Orientation Tracking and 3D Movement Visualization on an Avatar.Sensors (Basel, Switzerland) · 2021Article
- A Scoping Review on Minimum Foot Clearance: An Exploration of Level-Ground Clearance in Individuals with Abnormal Gait.International journal of environmental research and public health · 2021Article
- Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure Hydrocephalus.Sensors (Basel, Switzerland) · 2021Article
- The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes.Sensors (Basel, Switzerland) · 2021Article
- Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model.PloS one · 2021Article
- Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running.Human movement science · 2020Article
- Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum.Sensors (Basel, Switzerland) · 2020Article
- The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review.Sensors (Basel, Switzerland) · 2020Review
- Wearable Tendon Kinetics.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessing interventions for mobility disorders using real-life movement remains an unsolved problem. We propose a new method combining the strengths of traditional laboratory studies where environment is strictly controlled, and field-based studies where subjects behave naturally. We use a foot-mounted inertial sensor, a GPS receiver and a barometric altitude sensor to reconstruct a subject's path and detailed foot movement, both indoors and outdoors, during days-long measurement using strapdown navigation and sensor fusion algorithms. We cluster repeated movement paths based on location, and propose that on these paths, most environmental and behavioral factors (e.g., terrain and motivation) are as repeatable as in a laboratory. During each bout of movement along a frequently repeated path, any synchronized measurement can be isolated for study, enabling focused statistical comparison of different interventions. We conducted a 10-day test on one subject wearing athletic shoes and sandals each for five days. The algorithm detected four frequently-repeated straight walking paths with at least 300 total steps and repetitions on at least three days for each condition. Results on these frequently-repeated paths indicated significantly lower foot clearance and shorter stride length and a trend toward decreased stride width when wearing athletic shoes vs. sandals. Comparisons based on all straight walking were similar, showing greater statistical power, but higher variability in the data. The proposed method offers a new way to evaluate how mobility interventions affect everyday movement behavior.
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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.