Gait

General information

Gait can be assessed from the quantification of spatiotemporal and kinematic parameters of human locomotion. Gait analysis is usually performed by using timed and scoring tests. Instrumented analysis can potentially enhance gait analysis using motion tracking technology by providing accurate information of the position of multiple joints and body parts.

Our application

We have developed a computerized gait analysis tool that is interfaced using the low-cost Microsoft Kinect v2 and estimates the most common spatiotemporal and kinematic parameters of human gait. Kinematics of the ankle are not provided given the poor accuracy of the Kinect at estimating the foot joint.

Equipment required

  • Windows computer (Dual Core 3.1 GHz or faster processor, USB 3.0, and 4 GB of RAM) and the Microsoft Kinect v2
  • OR Windows 10 computer with 7th Generation Intel Core i3 Processor (Dual Core 2.4 GHz with HD620 GPU or faster, USB 3.0 port, and 4 GB RAM) and the Microsoft Azure Kinect

User instructions

  • Download and unzip our gait analysis tool
  • Connect the Kinect v2 or Azure Kinect to the computer
  • Run the application
  • Run the test

Investigated population

  • Stroke
  • Parkinson's disease
  • Multiple sclerosis (ongoing)

Related studies

  • J. Latorre, R. Llorens, C. Colomer, M. Alcañiz. Reliability and comparison of Kinect-based methods for estimating spatiotemporal gait parameters of healthy and post-stroke individuals. Journal of biomechanics, 2018. 72: 268-273.
  • J. Latorre, C. Colomer, M. Alcañiz, R. Llorens. Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke. Journal of NeuroEngineering and Rehabilitation, 2019. 16 (97).
  • I. Álvarez, J. Latorre, M. Aguilar, P. Pastor, R. Llorens. Validity and sensitivity of instrumented postural and gait assessment using low-cost devices in Parkinson’s disease. Journal of NeuroEngineering and Rehabilitation, 2020. 17 (1): 1-10.