Smartphone Accelerometer for Gait Assessment: Validity and Reliability in Healthy Adults

Smartphone-based accelerometers offer a cost-effective and portable alternative to traditional gait analysis systems, with high reliability in measuring key parameters such as walking speed, cadence, and distance. This study assessed their validity compared to the GAITRite system, a widely recognized gold-standard tool, using data from 30 healthy adults walking at 3 self-selected speeds: preferred, slow, and fast. The results demonstrated a high degree of agreement between the two systems, with intraclass correlation coefficients (ICCs) ranging from 0.778 to 0.999. Although the findings emphasize the potential of smartphone accelerometers for clinical and real-world applications, certain limitations were noted, including participant homogeneity and minor discrepancies at extreme walking speeds. To address these limitations, incorporating data from additional sensors, such as gyroscopes and magnetometers, may enhance the accuracy and reliability of spatial parameter estimation. Overall, the findings support the use of smartphone accelerometers as a promising tool for advancing gait monitoring technologies, particularly in the contexts of telerehabilitation and mobility assessments.

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Publication Details

Journal
Applied Sciences
Published
2024-12-04
DOI
https://doi.org/10.3390/app142311321
Citations
3
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
3.44
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article

Smartphone Accelerometer for Gait Assessment: Validity and Reliability in Healthy Adults

Hang-Keun Kim, Hwi-young Cho, Jin‐Hwa Jung, Ji‐Eun Baek
3 citations
Applied Sciences
Balance, Gait, and Falls Prevention
3.44
article

Smartphone Accelerometer for Gait Assessment: Validity and Reliability in Healthy Adults

Hang-Keun Kim, Hwi-young Cho, Jin‐Hwa Jung, Ji‐Eun Baek
article en
3 citations

Abstract

Smartphone-based accelerometers offer a cost-effective and portable alternative to traditional gait analysis systems, with high reliability in measuring key parameters such as walking speed, cadence, and distance. This study assessed their validity compared to the GAITRite system, a widely recognized gold-standard tool, using data from 30 healthy adults walking at 3 self-selected speeds: preferred, slow, and fast. The results demonstrated a high degree of agreement between the two systems, with intraclass correlation coefficients (ICCs) ranging from 0.778 to 0.999. Although the findings emphasize the potential of smartphone accelerometers for clinical and real-world applications, certain limitations were noted, including participant homogeneity and minor discrepancies at extreme walking speeds. To address these limitations, incorporating data from additional sensors, such as gyroscopes and magnetometers, may enhance the accuracy and reliability of spatial parameter estimation. Overall, the findings support the use of smartphone accelerometers as a promising tool for advancing gait monitoring technologies, particularly in the contexts of telerehabilitation and mobility assessments.

Applied SciencesVol. 14(23)
Gachon University (KR), Semyung University (KR)
Openalex Percentile: Top 6%
Balance, Gait, and Falls Prevention
3.44
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