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Article

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

1
Department of Physical Therapy, Gachon University, Incheon 21936, Republic of Korea
2
Department of Occupational Therapy, Semyung University, Jecheon 27136, Republic of Korea
3
Department of Biomedical Engineering, College of IT Convergence, Gachon University, Seongnam 13120, Republic of Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work as co-first authors.
Appl. Sci. 2024, 14(23), 11321; https://doi.org/10.3390/app142311321
Submission received: 30 September 2024 / Revised: 27 November 2024 / Accepted: 2 December 2024 / Published: 4 December 2024

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.
Keywords: gait analysis; smartphone accelerometer; wearable technology; intraclass correlation; applied ergonomics gait analysis; smartphone accelerometer; wearable technology; intraclass correlation; applied ergonomics

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MDPI and ACS Style

Baek, J.-E.; Jung, J.-H.; Kim, H.-K.; Cho, H.-Y. Smartphone Accelerometer for Gait Assessment: Validity and Reliability in Healthy Adults. Appl. Sci. 2024, 14, 11321. https://doi.org/10.3390/app142311321

AMA Style

Baek J-E, Jung J-H, Kim H-K, Cho H-Y. Smartphone Accelerometer for Gait Assessment: Validity and Reliability in Healthy Adults. Applied Sciences. 2024; 14(23):11321. https://doi.org/10.3390/app142311321

Chicago/Turabian Style

Baek, Ji-Eun, Jin-Hwa Jung, Hang-Keun Kim, and Hwi-Young Cho. 2024. "Smartphone Accelerometer for Gait Assessment: Validity and Reliability in Healthy Adults" Applied Sciences 14, no. 23: 11321. https://doi.org/10.3390/app142311321

APA Style

Baek, J.-E., Jung, J.-H., Kim, H.-K., & Cho, H.-Y. (2024). Smartphone Accelerometer for Gait Assessment: Validity and Reliability in Healthy Adults. Applied Sciences, 14(23), 11321. https://doi.org/10.3390/app142311321

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