scholarly journals Gait Analysis in a Box: A System Based on Magnetometer-Free IMUs or Clusters of Optical Markers with Automatic Event Detection

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3338 ◽  
Author(s):  
Javier Marín ◽  
Teresa Blanco ◽  
Juan de la Torre ◽  
José J. Marín
Keyword(s):  
Gait Analysis ◽  
Body Motion ◽  
Optical Systems ◽  
Measurement Units ◽  
Controlled Environments ◽  
Analysis System ◽  
Optical Markers ◽  
Test Retest Reliability ◽  
Automatic Event Detection ◽  
Full Body

Gait analysis based on full-body motion capture technology (MoCap) can be used in rehabilitation to aid in decision making during treatments or therapies. In order to promote the use of MoCap gait analysis based on inertial measurement units (IMUs) or optical technology, it is necessary to overcome certain limitations, such as the need for magnetically controlled environments, which affect IMU systems, or the need for additional instrumentation to detect gait events, which affects IMUs and optical systems. We present a MoCap gait analysis system called Move Human Sensors (MH), which incorporates proposals to overcome both limitations and can be configured via magnetometer-free IMUs (MH-IMU) or clusters of optical markers (MH-OPT). Using a test–retest reliability experiment with thirty-three healthy subjects (20 men and 13 women, 21.7 ± 2.9 years), we determined the reproducibility of both configurations. The assessment confirmed that the proposals performed adequately and allowed us to establish usage considerations. This study aims to enhance gait analysis in daily clinical practice.

A Full-Body Wireless Wearable UWB-Based Human Motion Capture and Gait Analysis System

2013 ◽  
pp. 434-459
Author(s):  
Heba Shaban ◽  
Mohamad Abou El-Nasr ◽  
R. Michael Buehrer
Keyword(s):  
Gait Analysis ◽  
Tracking System ◽  
Human Locomotion ◽  
Human Motion ◽  
Ultra Wideband ◽  
Specialized Equipment ◽  
Analysis System ◽  
Complex Settings ◽  
Clinical Gait Analysis ◽  
Full Body

Gait analysis is the systematic study of human walking. Clinical gait analysis, also termed as quantitative gait analysis, provides a detailed clinical introduction to understanding and treating walking disorders. Modern gait analysis is facilitated through the use of specialized equipment. Currently, accurate gait analysis requires dedicated laboratories with complex settings and highly skilled operators. Wearable locomotion tracking systems are available, but they are not sufficiently accurate for clinical gait analysis. On the other hand, wireless healthcare is evolving. Ultra wideband (UWB) is one technology that has the potential for accurate ranging and positioning in dense, multi-path environments. In particular, impulse radio UWB (IR-UWB) is suitable for low-power implementation, which makes it an attractive candidate for wearable and battery-powered health-monitoring systems. The goal of this chapter is to propose and investigate an accurate, full-body, wireless, wearable human locomotion tracking system using UWB radios, with specific application to clinical gait analysis.

scholarly journals Validation of an IMU Suit for Military-Based Tasks

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4280 ◽  
Author(s):  
Matthew P. Mavor ◽  
Gwyneth B. Ross ◽  
Allison L. Clouthier ◽  
Thomas Karakolis ◽  
Ryan B. Graham
Keyword(s):  
Motion Capture ◽  
Principal Component ◽  
Load Carriage ◽  
Body Motion ◽  
Promising Alternative ◽  
Flexion Extension ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Optical Markers ◽  
Full Body

Investigating the effects of load carriage on military soldiers using optical motion capture is challenging. However, inertial measurement units (IMUs) provide a promising alternative. Our purpose was to compare optical motion capture with an Xsens IMU system in terms of movement reconstruction using principal component analysis (PCA) using correlation coefficients and joint kinematics using root mean squared error (RMSE). Eighteen civilians performed military-type movements while their motion was recorded using both optical and IMU-based systems. Tasks included walking, running, and transitioning between running, kneeling, and prone positions. PCA was applied to both the optical and virtual IMU markers, and the correlations between the principal component (PC) scores were assessed. Full-body joint angles were calculated and compared using RMSE between optical markers, IMU data, and virtual markers generated from IMU data with and without coordinate system alignment. There was good agreement in movement reconstruction using PCA; the average correlation coefficient was 0.81 ± 0.14. RMSE values between the optical markers and IMU data for flexion-extension were less than 9°, and 15° for the lower and upper limbs, respectively, across all tasks. The underlying biomechanical model and associated coordinate systems appear to influence RMSE values the most. The IMU system appears appropriate for capturing and reconstructing full-body motion variability for military-based movements.

scholarly journals Portable Gait Analysis System with an Integration of Kinect sensor and Inertial Measurement Units

2020 ◽  
Vol 9 (1) ◽  
pp. 73-78
Author(s):  
Pratima Saravanan ◽  
Jiyun Yao ◽  
Jessica Menold
Keyword(s):  
Gait Analysis ◽  
Step Length ◽  
Microsoft Kinect ◽  
Human Gait ◽  
Kinect Sensor ◽  
Inertial Measurement Units ◽  
Combined System ◽  
Inertial Measurement ◽  
Measurement Units ◽  
Analysis System

Clinical gait analysis is used for diagnosing, assessing, and for monitoring a patient by analyzing their kinetics, kinematics and electromyography while walking. Traditionally, gait analysis is performed in a formal laboratory environment making use of several high-resolution cameras, either video or infrared. The subject is asked to walk on a force platform or a treadmill with several markers attached to their body, allowing cameras to capture the joint coordinates across time. The space required for such a laboratory is non-trivial and often the associated costs of such an experimental setup is prohibitively expensive. The current work aims to investigate the coupled use of a Microsoft Kinect and Inertial Measurement Units as a portable and cost-efficient gait analysis system. Past studies on assessing gait using either Kinect or Inertial Measurement Units concluded that they achieve medium reliability individually due to some drawbacks related to each sensor. In this study, we propose that a combined system is efficient in detecting different phases of human gait, and the combination of sensors complement each other by overcoming the individual sensor drawbacks. Preliminary findings indicate that the IMU sensors are efficient in providing gait kinematics such as step length, stride length, velocity, cadence, etc., whereas the Kinect sensor helps in studying the gait asymmetries by comparing the right and left joint, such as hips, knees, and ankle.

scholarly journals Test-Retest Reliability of an Automated Infrared-Assisted Trunk Accelerometer-Based Gait Analysis System

Sensors ◽  
2016 ◽  
Vol 16 (8) ◽  
pp. 1156 ◽  
Author(s):  
Chia-Yu Hsu ◽  
Yuh-Show Tsai ◽  
Cheng-Shiang Yau ◽  
Hung-Hai Shie ◽  
Chu-Ming Wu
Keyword(s):  
Gait Analysis ◽  
Retest Reliability ◽  
Analysis System ◽  
Test Retest Reliability

scholarly journals Test-Retest Reliability of PODOSmart® Gait Analysis Insoles

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7532
Author(s):  
Andreas Loukovitis ◽  
Efthymios Ziagkas ◽  
Dimitrios Xypolias Zekakos ◽  
Alexandros Petrelis ◽  
George Grouios
Keyword(s):  
Gait Analysis ◽  
Cost Effective ◽  
Human Locomotion ◽  
Clinical Settings ◽  
Analysis Tool ◽  
Healthy Male ◽  
Retest Reliability ◽  
Analysis System ◽  
Test Retest Reliability

It is recognized that gait analysis is a powerful tool used to capture human locomotion and quantify the related parameters. PODOSmart® insoles have been designed to provide accurate measurements for gait analysis. PODOSmart® insoles are lightweight, slim and cost-effective. A recent publication presented the characteristics and data concerning the validity of PODOSmart® insoles in gait analysis. In literature, there is still no evidence about the repeatability of PODOSmart® gait analysis system. Such evidence is essential in order to use this device in both research and clinical settings. The aim of the present study was to assess the repeatability of PODOSmart® system. In this context, it was hypothesized that the parameters of gait analysis captured by PODOSmart® would be repeatable. In a sample consisting of 22 healthy male adults, participants performed two walking trials on a six-meter walkway. The ICC values for 28 gait variables provided by PODOSmart® indicated good to excellent test-retest reliability, ranging from 0.802 to 0.997. The present findings confirm that PODOSmart® gait analysis insoles present excellent repeatability in gait analysis parameters. These results offer additional evidence regarding the reliability of this gait analysis tool.

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