scholarly journals Autonomous Gait Event Detection with Portable Single-Camera Gait Kinematics Analysis System

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Cheng Yang ◽  
Ukadike C. Ugbolue ◽  
Andrew Kerr ◽  
Vladimir Stankovic ◽  
Lina Stankovic ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Event Detection ◽  
Video Frame ◽  
Single Camera ◽  
Kinematics Analysis ◽  
Knee Angle ◽  
Detection Rates ◽  
Gait Kinematics ◽  
Analysis System

Laboratory-based nonwearable motion analysis systems have significantly advanced with robust objective measurement of the limb motion, resulting in quantified, standardized, and reliable outcome measures compared with traditional, semisubjective, observational gait analysis. However, the requirement for large laboratory space and operational expertise makes these systems impractical for gait analysis at local clinics and homes. In this paper, we focus on autonomous gait event detection with our bespoke, relatively inexpensive, and portable, single-camera gait kinematics analysis system. Our proposed system includes video acquisition with camera calibration, Kalman filter + Structural-Similarity-based marker tracking, autonomous knee angle calculation, video-frame-identification-based autonomous gait event detection, and result visualization. The only operational effort required is the marker-template selection for tracking initialization, aided by an easy-to-use graphic user interface. The knee angle validation on 10 stroke patients and 5 healthy volunteers against a gold standard optical motion analysis system indicates very good agreement. The autonomous gait event detection shows high detection rates for all gait events. Experimental results demonstrate that the proposed system can automatically measure the knee angle and detect gait events with good accuracy and thus offer an alternative, cost-effective, and convenient solution for clinical gait kinematics analysis.

Validation of wearable inertial sensor-based gait analysis system for measurement of spatiotemporal parameters and lower extremity joint kinematics in sagittal plane

2022 ◽  
pp. 095441192110729
Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Motion Capture ◽  
Inertial Sensor ◽  
Joint Kinematics ◽  
Percentage Error ◽  
Motion Capture System ◽  
Spatiotemporal Parameters ◽  
Analysis System ◽  
Motion Capture Systems

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.

scholarly journals The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1660 ◽  
Author(s):  
Yunru Ma ◽  
Kumar Mithraratne ◽  
Nichola Wilson ◽  
Xiangbin Wang ◽  
Ye Ma ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gait Analysis ◽  
Motion Analysis ◽  
Poor Correlation ◽  
Analysis Tool ◽  
Calibration Methods ◽  
Pattern Similarity ◽  
Children With Cerebral Palsy ◽  
Analysis System ◽  
Mean Square Errors

The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool for children with cerebral palsy (CP), and whether linear regression and long short-term memory (LSTM) recurrent neural network methods can improve its performance. A gait analysis was conducted on ten children with CP, on two occasions. Lower limb joint kinematics computed from the Kinect and a traditional marker-based Motion Analysis system were investigated by calculating the root mean square errors (RMSE), the coefficients of multiple correlation (CMC), and the intra-class correlation coefficients (ICC2,k). Results showed that the Kinect-based kinematics had an overall modest to poor correlation (CMC—less than 0.001 to 0.70) and an angle pattern similarity with Motion Analysis. After the calibration, RMSE on every degree of freedom decreased. The two calibration methods indicated similar levels of improvement in hip sagittal (CMC—0.81 ± 0.10 vs. 0.75 ± 0.22)/frontal (CMC—0.41 ± 0.35 vs. 0.42 ± 0.37) and knee sagittal kinematics (CMC—0.85±0.07 vs. 0.87 ± 0.12). The hip sagittal (CMC—0.97±0.05) and knee sagittal (CMC—0.88 ± 0.12) angle patterns showed a very good agreement over two days. Modest to excellent reliability (ICC2,k—0.45 to 0.93) for most parameters renders it feasible for observing ongoing changes in gait kinematics.

Kinematics Analysis of Foot Metatarsals Skeletal Rays through Inverse Modelling

2012 ◽  
Vol 15 ◽  
pp. 17-22 ◽  
Author(s):  
Q. Hao ◽  
W.W. Shen ◽  
J.B. Ma ◽  
J.S. Li ◽  
X.J. Ren ◽  
...  
Keyword(s):  
Ct Scan ◽  
Motion Analysis ◽  
Middle Part ◽  
Inverse Model ◽  
Inverse Modelling ◽  
Motion Analysis System ◽  
Kinematics Analysis ◽  
Model Application ◽  
Metatarsal Angle ◽  
Analysis System

The Purpose of this Study Is to Establish Models of the First to the Fifth Ray of the Skeletal Plantar Arch and to Analyse the Model Application in Kinematics. Foot Models Are Built through CT Scan, then Inverse Model Recreation. we Calculated the Metatarsal Angles and Horizontal Metatarsal Angles Using Motion Analysis System. the First to the Fifth Metatarsal Angle and Horizontal Metatarsal Angle Are both Different. the same Trend Happened in the Lateral and Medial Metatarsal Angles. these Results, Especially the Middle Part Angle Relationship Can Be Further Used for Analysis of Foot Mechanics during Walking or other Activities.

scholarly journals Towards a better understanding of the overall health impact of the game of squash: automatic and high-resolution motion analysis from a single camera view

2017 ◽  
Vol 3 (2) ◽  
pp. 819-823
Author(s):  
Christopher Brumann ◽  
Markus Kukuk
Keyword(s):  
High Resolution ◽  
Motion Analysis ◽  
Gaussian Mixture ◽  
Health Impact ◽  
Video Frame ◽  
Single Camera ◽  
Total Occlusion ◽  
Heat Maps ◽  
Motion Patterns ◽  
Camera View

AbstractIn this paper, we present a method for locating and tracking players in the game of squash using Gaussian mixture model background subtraction and agglomerative contour clustering from a calibrated single camera view. Furthermore, we describe a method for player re-identification after near total occlusion, based on stored color- and region-descriptors. For camera calibration, no additional pattern is needed, as the squash court itself can serve as a 3D calibration object. In order to exclude non-rally situations from motion analysis, we further classify each video frame into game phases using a multilayer perceptron. By considering a player’s position as well as the current game phase we are able to visualize player-individual motion patterns expressed as court coverage using pseudo colored heat-maps. In total, we analyzed two matches (six games, 1:28h) of high quality commercial videos used in sports broadcasting and compute high resolution (1cm per pixel) heat-maps. 130184 manually labeled frames (game phases and player identification) show an identification correctness of 79.28±8.99% (mean±std). Game phase classification is correct in 60.87±7.62% and the heat-map visualization correctness is 72.47±7.27%.

scholarly journals Automation enhancement and accuracy investigation of a portable single-camera gait analysis system

2019 ◽  
Vol 13 (4) ◽  
pp. 563-571 ◽  
Author(s):  
Cheng Yang ◽  
Ukadike Chris Ugbolue ◽  
Davis McNicol ◽  
Vladimir Stankovic ◽  
Lina Stankovic ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Single Camera ◽  
Analysis System

Concurrent validity of observational gait analysis using the vicon motion analysis system

1996 ◽  
Vol 4 (2) ◽  
pp. 167-168 ◽  
Author(s):  
MB Greenberg ◽  
JA Gronley ◽  
J Perry ◽  
R Lawthwaite
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Concurrent Validity ◽  
Motion Analysis System ◽  
Analysis System

scholarly journals A Methodology for Assessing the Impact of Error Components in Gait Analysis Using Closed-Loop Testing on a Biomimetic Rig

2021 ◽  
Author(s):  
Christos Kampouris ◽  
Philip Azariadis ◽  
Vasilis Moulianitis
Keyword(s):  
Gait Analysis ◽  
Closed Loop ◽  
Smart Phone ◽  
Calibration Method ◽  
Accurate Diagnosis ◽  
Single Camera ◽  
Error Components ◽  
Analysis Methods ◽  
Analysis System ◽  
The Impact

Scientific gait analysis methods aim to offer objective measurements, to assist physicians towards an accurate diagnosis or pre-diagnosis of ailments before they actually manifest through noticeable symptoms. This paper reviews selected gait analysis system technologies, trends, applications and discusses errors and precision in spatial and angular readings. Furthermore, we propose a novel test and calibration method using a biomimetic rig. To illustrate this, we conduct three tests on an optical single-camera gait analysis system based on a mobile android smart-phone with specially developed software.

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