This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (1177) mHealth for Data Collection and Research (1223) mHealth for Wellness, Behavior Change and Prevention (3391) Design and Formative Evaluation of Mobile Apps (822)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52166, first published .
A Novel Approach for Improving Gait Speed Estimation Using a Single Inertial Measurement Unit Embedded in a Smartphone: Validity and Reliability Study

A Novel Approach for Improving Gait Speed Estimation Using a Single Inertial Measurement Unit Embedded in a Smartphone: Validity and Reliability Study

A Novel Approach for Improving Gait Speed Estimation Using a Single Inertial Measurement Unit Embedded in a Smartphone: Validity and Reliability Study

Authors of this article:

Pei-An Lee1, 2, 3 Author Orcid Image ;   Wanting Yu1 Author Orcid Image ;   Junhong Zhou1, 2, 3 Author Orcid Image ;   Timothy Tsai1 Author Orcid Image ;   Brad Manor1, 2, 3 Author Orcid Image ;   On-Yee Lo1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Carniel T, Ferretti F, Masson F, Eckert J, De Sá C. Assessment of gait speed in older adults using a short–distance walking test with smartphone motion sensors and machine learning. Scientific Reports 2025;15(1) View
  2. Miller A, Goldstein Z, Sayeed A, Zakko P, Park D. Comparison of Post-Operative Mobilization After Minimally Invasive Transforaminal Lumbar Interbody Fusion and Traditional Open Posterolateral Fusion Using Objective Gait Analysis Data. Global Spine Journal 2026 View