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.

Study on Motion Measurement of Human Upper Limb Based on Electromagnetic Tracking System during the Activities of Daily Living

2013 ◽  
Vol 321-324 ◽  
pp. 684-687 ◽  
Author(s):  
Hai Yan Song ◽  
Jian Guo Zhang ◽  
Fang Wang
Keyword(s):  
Activities Of Daily Living ◽  
Upper Limb ◽  
Daily Living ◽  
Tracking System ◽  
Human Motion ◽  
Electromagnetic Tracking ◽  
Chinese Adult ◽  
Analysis System ◽  
Electromagnetic Tracking System ◽  
Human Upper Limb

The measurement and analysis of human motion during the Activities of Daily Living (ADLs) is widely used in rehabilitation, ergonomics, diagnosis, and bionics etc. By using American PolhemusTMelectromagnetic tracking system, the human upper limb motions of 6 objects performing 12 basic actions of ADLs were measured. Then the joint angle ranges of human upper limb were obtained by upper limb motion analysis system developed by ourselves. The results can provide reference for complete, standardized Chinese adult human upper limb kinematics parameters.

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 Clinical Gait Analysis System

1987 ◽  
Vol 16 (4) ◽  
pp. 217-220 ◽  
Author(s):  
Malcolm Ellis ◽  
Adrian Howe
Keyword(s):  
Gait Analysis ◽  
Telemetry System ◽  
System A ◽  
Normal Gait ◽  
Laboratory Facilities ◽  
Contact Data ◽  
The Subject ◽  
Analysis System ◽  
User Friendly ◽  
Clinical Gait Analysis

A gait analysis system has been devised that is not only relatively inexpensive, but is also quick to use, requires no expertise to run, and does not need any special laboratory facilities. The system monitors the subject's knee and hip movements during ambulation using electro-goniometers. Foot contact data are obtained using lightweight, flexible, foot switches. The data are sent to a computer via an eight channel telemetry system carried by the subject on a waist belt. The software is designed to simplify analysis and be ‘user friendly’. After a simple calibration routine, the system prompts the operator to ask the subject to walk a number of steps. The computer ignores the initial steps taken as these are not typical of normal gait. It then collects data from the consequent steps, averages the data and then displays them in both graphical and numerical form. A patient can be tested and a printout provided for insertion in the patient's notes within ten minutes. Only one hours training is required to learn to operate the system. A patient can be tested in a physiotherapy department, corridor, or in any area where a few consecutive steps can be taken.

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.

Agreement and consistency of five different clinical gait analysis systems in the assessment of spatiotemporal gait parameters

2021 ◽  
Vol 85 ◽  
pp. 55-64
Author(s):  
Julian Rudisch ◽  
Thomas Jöllenbeck ◽  
Lutz Vogt ◽  
Thomas Cordes ◽  
Thomas Jürgen Klotzbier ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Gait Parameters ◽  
Clinical Gait Analysis

Effects of shoulder translation on lumbar moment for two dimensional modeling strategies during lifting

1998 ◽  
Vol 1 (3) ◽  
pp. 173-187
Author(s):  
Wayne J. Albert ◽  
Joan M. Stevenson ◽  
Geneviève A. Dumas ◽  
Roger W. Wheeler
Keyword(s):  
Sagittal Plane ◽  
Tracking System ◽  
Vertical Direction ◽  
Two Dimensional ◽  
Model Type ◽  
Trunk Acceleration ◽  
Analysis System ◽  
Trunk Orientation ◽  
Shoulder Position ◽  
Dynamic Link

The objectives of this study were to: 1) develop a dynamic 2D link segment model for lifting using the constraints of four sensors from an electromagnetic motion analysis system; 2) evaluate the magnitude of shoulder movement in the sagittal plane during lifting; and 3) investigate the effect of shoulder translation on trunk acceleration and lumbar moments calculated by the developed model and comparing it with two separate 2D dynamic link segment models. Six women and six men lifted loads of 2 kg, 7 kg, 12 kg and 2 kg, 12 kg, 22 kg respectively, under stoop, squat and freestyle conditions. Trunk orientation and position, as well as shoulder position were monitored during all lifts using the Polhemus FASTRAK\trdmk. Results indicated that average range of motion was 0.05 ± 0.02 m in the horizontal direction and 0.03 ± 0.02 m in the vertical direction. Shoulder position relative to T1 was located 0.07 ± 0.02 m anteriorly, and 0.02 ± 0.04 m superiorly (0.06 and 0.00 m for males and 0.08 and 0.04 m for females, respectively). To estimate the effect of shoulder motion on trunk acceleration and L5/S1 moments, three two-dimensional dynamic link segment models were developed within the constraints of the electromagnetic tracking system and compared. Trunk segment endpoints were defined as L5/S1 and either T1 or shoulder depending on model type. For trunk accelerations, average differences between models were greater than 40 deg/s² in 70.4% trunk accelerations did not translate into significantly different moment calculations between models. Average peak dynamic L5/S1 moment differences between models were smaller than 4 Nm for all lifting conditions which failed to be statistically significant (p>0.05). The model type did not have a statistically significant effect on peak L5/S1 moments. Therefore, despite important shoulder joint translations, peak L5/S1 moments were not significantly affected.

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