scholarly journals Use of a Novel Multi-View Image-Based Motion Analysis System in the Field of Sports

2021 ◽  
Author(s):  
Nam-Gi Lee ◽  
Jung-Hoon Ahn ◽  
Woo-Taek Lim
Keyword(s):  
Lower Extremity ◽  
Motion Analysis ◽  
Intraclass Correlation ◽  
Young Men ◽  
Lower Extremities ◽  
Joint Kinematics ◽  
Motion Analysis System ◽  
Sports Training ◽  
Two Systems ◽  
Analysis System

Abstract Background: Sports-related injuries are the most common in the lower extremities among physical regions, and overall injury rates were higher among males and persons aged 5–24 years. To evaluate impaired functional performance in sports training facilities and sports, a marker-less motion analysis system that can measure joint kinematics in bright indoor and outdoor environments is required. Objective: To establish the concurrent and angle-trajectory validity and intra-trial reliability of a novel multi-view image-based motion analysis system with marker-less during lower extremity tasks in healthy young men.Methods: Ten healthy young men participated voluntarily in this study. The hip and knee joint angles were collected using a multi-view image-based motion analysis system (marker-less) and a Vicon motion capture system (with markers) during the lower extremity tasks. Intraclass correlation coefficient (ICC) analyses were used to identify the concurrent and angle-trajectory validity and intra-trial reliability of the multi-view image-based motion analysis system.Results: In the concurrent validity, the correlation analysis revealed that the ICC3, k values on the hip and knee flexions during knee bending in sitting, standing, and squat movements were 0.747 to 0.936 between the two systems. In particular, the angle-trajectory validity was very high (ICC3, 1 = 0.859–0.998), indicating a high agreement between the two systems. The intra-trial reliability of each system was excellent (ICC3, 1 = 0.773–0.974), reflecting high reproducibility. Conclusion: We suggest that this novel marker-less motion analysis system is highly accurate and reliable for measuring joint kinematics of the lower extremities during the rehabilitation process and monitoring the sports performance of athletes in sports training facilities.

Using an Optical Proximity Sensor to Measure Foot Clearance During Gait: Agreement With Motion Analysis

2010 ◽  
Vol 4 (3) ◽  
Author(s):  
Andy Kerr ◽  
Danny Rafferty ◽  
Philippa Dall ◽  
Philip Smit ◽  
Peter Barrie
Keyword(s):  
Motion Analysis ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Camera System ◽  
Proximity Sensor ◽  
Two Systems ◽  
Healthy Sample ◽  
Foot Clearance ◽  
Analysis System ◽  
All Speeds

Foot clearance is an important measurement variable in understanding trip falls. Current methods for measuring foot clearance are limited by their inability to capture multiple steps and confinement to a laboratory. Given that variation in this parameter is considered a factor in trip falling, it’s measurement in the field over multiple steps would be valuable. The development of an optical proximity sensor (OPS) has created the opportunity to collect this type of data. This study aimed to test the validity of an OPS through comparison with a motion capture system. Twenty subjects aged 33(+/−10) years, with a height of 174(+/−6) cm and a weight of 75(+/−12) kg, walked at three self selected velocities (preferred, slow, and fast). The OPS was mounted on the shoe of each subject. The motion of the shoe was recorded with a motion analysis system which tracked three markers attached to the shoe and outer casing of the OPS. Both systems were sampled at 50 Hz. The lowest point of the foot during the swing phase was recorded from each system and compared using intraclass correlation coefficients (ICCs). There was excellent agreement between the two systems. ICCs of 0.925 (all speeds), 0.931 (preferred), 0.966 (slow), and 0.889 (fast) were recorded. These results represent a strong agreement between the two systems in measuring the lowest point during swing. The OPS could thus be used instead of a camera system to record foot clearance, opening up opportunities for data collection over long periods of time, in natural settings. These results should be interpreted in context of the young healthy sample.

The validity of using a video-based motion analysis system for measuring maximal area of fingertip motion and angular variation

2002 ◽  
Vol 216 (4) ◽  
pp. 257-263 ◽  
Author(s):  
F-C Su ◽  
L-C Kuo ◽  
H-Y Chiu ◽  
H-Y Hsu
Keyword(s):  
Motion Analysis ◽  
Intraclass Correlation ◽  
Practical Method ◽  
Functional Evaluation ◽  
Motion Analysis System ◽  
Angular Variation ◽  
Active Motion ◽  
Bony Landmarks ◽  
Video Motion Analysis ◽  
Analysis System

The aim of the study was to verify the application of a three-dimensional video motion analysis system to evaluate maximal fingertip motion area and angular variation of the hand by comparison and correlation with videofluoroscopic analysis. Eight normal subjects were recruited in this study. The maximal motion area of the fingertip and the angles of the metacarpal phalangeal (MP), proximal interphalangeal (PIP) and distal interphalangeal (DIP) joints in performing five sequential postures for functional evaluation of the hand were measured using a video motion analysis system and a fluoroscopy system respectively. The results indicated that the intraclass correlation coefficient (ICC) of the calculated maximal fingertip motion area between the two methods was 0.9597. The ICC for total active motion (TAM) measurements of three finger joints was 0.940 between the surface and bony landmarks by fluoroscopy, 0.952 between the surface landmarks from fluoroscopy and motion analysis, and 0.927 between the bony landmark from fluoroscopy and surface markers from motion analysis. The ICC for angular measurements between three different paired assessments was 0.9650, 0.8896 and 0.8799 for the MP, PIP and DIP joints respectively. The results indicate that motion analysis is a practical method for assessing impairment of the hand.

scholarly journals Agreement Between the Spatiotemporal Gait Parameters of Healthy Adults From the OptoGait System and a Traditional Three-Dimensional Motion Capture System

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Aoife Healy ◽  
Kimberley Linyard-Tough ◽  
Nachiappan Chockalingam
Keyword(s):  
Motion Analysis ◽  
Motion Capture ◽  
Intraclass Correlation ◽  
Three Dimensional ◽  
Healthy Adults ◽  
Systematic Bias ◽  
Motion Analysis System ◽  
Motion Capture System ◽  
Gait Parameters ◽  
Analysis System

While previous research has assessed the validity of the OptoGait system to the GAITRite walkway and an instrumented treadmill, no research to date has assessed this system against a traditional three-dimensional motion analysis system. Additionally, previous research has shown that the OptoGait system shows systematic bias when compared to other systems due to the configuration of the system's hardware. This study examined the agreement between the spatiotemporal gait parameters calculated from the OptoGait system and a three-dimensional motion capture (14 camera Vicon motion capture system and 2 AMTI force plates) in healthy adults. Additionally, a range of filter settings for the OptoGait were examined to determine if it was possible to eliminate any systematic bias between the OptoGait and the three-dimensional motion analysis system. Agreement between the systems was examined using 95% limits of agreement by Bland and Altman and the intraclass correlation coefficient. A repeated measure ANOVA was used to detect any systematic differences between the systems. Findings confirm the validity of the OptoGait system for the evaluation of spatiotemporal gait parameters in healthy adults. Furthermore, recommendations on filter settings which eliminate the systematic bias between the OptoGait and the three-dimensional motion analysis system are provided.

scholarly journals Investigation of normal knees kinematics in walking and running at different speeds using a portable motion analysis system

2021 ◽  
pp. 1-14
Author(s):  
Rixu Liu ◽  
Dongyang Qian ◽  
Yushu Chen ◽  
Jianyu Zou ◽  
Shicong Zheng ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Motion Analysis System ◽  
Analysis System

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 Upper Limb Portable Motion Analysis System Based on Inertial Technology for Neurorehabilitation Purposes

Sensors ◽  
2010 ◽  
Vol 10 (12) ◽  
pp. 10733-10751 ◽  
Author(s):  
Rodrigo Pérez ◽  
Úrsula Costa ◽  
Marc Torrent ◽  
Javier Solana ◽  
Eloy Opisso ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Upper Limb ◽  
Motion Analysis System ◽  
Analysis System
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