ArticleSensors (Basel, Switzerland)2021
Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Clinical utility and methodological implementation of smartphone-based mobility analysis: a scoping review.Journal of neurology · 2026Article
- Recognition of Gait Alterations Induced by Alcohol-Impairment Simulation Goggles Using Smartphone Accelerometer Signals.Sensors (Basel, Switzerland) · 2026Article
- Multimodal gait dataset with floor accelerations, inertial sensor data, and synchronized video from controlled walking trials.Data in brief · 2026Article
- Accurate quantification of steps from multiple smartphone positions.Scientific reports · 2026Article
- Article
- MoveLabSensors (Basel, Switzerland) · 2025Article
- Real-Time Detection of Distracted Walking Using Smartphone IMU Sensors with Personalized and Emotion-Aware Modeling.Sensors (Basel, Switzerland) · 2025Article
- Extraction of Clinically Relevant Temporal Gait Parameters from IMU Sensors Mimicking the Use of Smartphones.Sensors (Basel, Switzerland) · 2025Article
- The Detection of Gait Events Based on Smartphones and Deep Learning.Bioengineering (Basel, Switzerland) · 2025Article
- Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion.Diagnostics (Basel, Switzerland) · 2024Article
- In-Clinic and Natural Gait Observations master protocol (I-CAN-GO) to validate gait using a lumbar accelerometer.Scientific reports · 2024Article
- Gait Assessment Using Smartphone Applications in Older Adults: A Scoping Review.Geriatrics (Basel, Switzerland) · 2024Article
- The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability.Sensors (Basel, Switzerland) · 2024Article
- Dynamic stability evaluation of trunk accelerations during walking in blind and sighted individuals.BMC ophthalmology · 2024Article
- Assessing Motor Variability during Squat: The Reliability of Inertial Devices in Resistance Training.Sensors (Basel, Switzerland) · 2024Article
- Probabilistic Estimation of Cadence and Walking Speed From Floor Vibrations.IEEE journal of translational engineering in health and medicine · 2024Article
- A Scoping Review of the Validity and Reliability of Smartphone Accelerometers When Collecting Kinematic Gait Data.Sensors (Basel, Switzerland) · 2023Article
- Development of a Gait Feature-Based Model for Classifying Cognitive Disorders Using a Single Wearable Inertial Sensor.Neurology · 2023Article
- Validity and reliability of the Apple Health app on iPhone for measuring gait parameters in children, adults, and seniors.Scientific reports · 2023Article
- Spatiotemporal parameters from remote smartphone-based gait analysis are associated with lower extremity functional scale categories.Frontiers in rehabilitation sciences · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Spatio-temporal parameters of human gait, currently measured using different methods, provide valuable information on health. Inertial Measurement Units (IMUs) are one such method of gait analysis, with smartphone IMUs serving as a good substitute for current gold-standard techniques. Here we investigate the concurrent validity of a smartphone placed in a front-facing pocket to perform gait analysis. Sixty community-dwelling healthy adults equipped with a smartphone and an application for gait analysis completed a 2-min walk on a marked path. Concurrent validity was assessed against an APDM mobility lab (APDM Inc.; Portland, OR, USA). Bland-Altman plots and intraclass correlation coefficients (agreement and consistency) for gait speed, cadence, and step length indicate good to excellent agreement (ICC
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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.