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4 Results Found

  • Article
  • Open Access
6 Citations
5,349 Views
16 Pages

Identifying Individuals Who Currently Report Feelings of Anxiety Using Walking Gait and Quiet Balance: An Exploratory Study Using Machine Learning

  • Maggie Stark,
  • Haikun Huang,
  • Lap-Fai Yu,
  • Rebecca Martin,
  • Ryan McCarthy,
  • Emily Locke,
  • Chelsea Yager,
  • Ahmed Ali Torad,
  • Ahmed Mahmoud Kadry and
  • Ali Boolani
  • + 3 authors

20 April 2022

Literature suggests that anxiety affects gait and balance among young adults. However, previous studies using machine learning (ML) have only used gait to identify individuals who report feeling anxious. Therefore, the purpose of this study was to id...

  • Article
  • Open Access
11 Citations
3,304 Views
20 Pages

Using Machine Learning to Identify Feelings of Energy and Fatigue in Single-Task Walking Gait: An Exploratory Study

  • Ahmed M. Kadry,
  • Ahmed Torad,
  • Moustafa Ali Elwan,
  • Rumit Singh Kakar,
  • Dylan Bradley,
  • Shafique Chaudhry and
  • Ali Boolani

17 March 2022

The objective of this study was to use machine learning to identify feelings of energy and fatigue using single-task walking gait. Participants (n = 126) were recruited from a university community and completed a single protocol where current feeling...

  • Article
  • Open Access
1,158 Views
16 Pages

Physical Activity Levels of Community-Dwelling Older Adults During Daily Life Activities: A Descriptive Study

  • Dieuwke van Dartel,
  • Ying Wang,
  • Johannes H. Hegeman and
  • Miriam M. R. Vollenbroek-Hutten

21 December 2024

Background/Objectives: Measuring the physical functioning of older hip fracture patients using wearables is desirable, with physical activity monitoring offering a promising approach. However, it is first important to assess physical activity in heal...

  • Article
  • Open Access
3 Citations
2,637 Views
25 Pages

Comparison of Wearable and Depth-Sensing Technologies with Electronic Walkway for Comprehensive Gait Analysis

  • Marjan Nassajpour,
  • Mahmoud Seifallahi,
  • Amie Rosenfeld,
  • Magdalena I. Tolea,
  • James E. Galvin and
  • Behnaz Ghoraani

4 September 2025

Accurate and scalable gait assessment is essential for clinical and research applications, including fall risk evaluation, rehabilitation monitoring, and early detection of neurodegenerative diseases. While electronic walkways remain the clinical gol...