Accuracy and repeatability of joint angles measured using a single camera markerless motion capture system

2014 ◽  
Vol 47 (2) ◽  
pp. 587-591 ◽  
Author(s):  
Anne Schmitz ◽  
Mao Ye ◽  
Robert Shapiro ◽  
Ruigang Yang ◽  
Brian Noehren
Keyword(s):  
Motion Capture ◽  
Single Camera ◽  
Motion Capture System ◽  
Joint Angles ◽  
Markerless Motion Capture ◽  
Accuracy And Repeatability

The measurement of in vivo joint angles during a squat using a single camera markerless motion capture system as compared to a marker based system

2015 ◽  
Vol 41 (2) ◽  
pp. 694-698 ◽  
Author(s):  
Anne Schmitz ◽  
Mao Ye ◽  
Grant Boggess ◽  
Robert Shapiro ◽  
Ruigang Yang ◽  
...  
Keyword(s):  
Motion Capture ◽  
Single Camera ◽  
Motion Capture System ◽  
Joint Angles ◽  
Markerless Motion Capture

scholarly journals Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system

2021 ◽  
pp. 110414
Author(s):  
Robert M. Kanko ◽  
Elise K. Laende ◽  
Gerda Strutzenberger ◽  
Marcus Brown ◽  
W. Scott Selbie ◽  
...  
Keyword(s):  
Deep Learning ◽  
Motion Capture ◽  
Learning Algorithm ◽  
Motion Capture System ◽  
Deep Learning Algorithm ◽  
Markerless Motion Capture ◽  
Gait Parameters

scholarly journals Dual Kinect v2 system can capture lower limb kinematics reasonably well in a clinical setting: concurrent validity of a dual camera markerless motion capture system in professional football players

2018 ◽  
Vol 4 (1) ◽  
pp. e000441 ◽  
Author(s):  
Argyro Kotsifaki ◽  
Rodney Whiteley ◽  
Clint Hansen
Keyword(s):  
Motion Capture ◽  
Excellent Agreement ◽  
Lower Limb ◽  
Motion Capture System ◽  
Kinect V2 ◽  
Markerless Motion Capture ◽  
Flexion Extension ◽  
Limb Kinematics ◽  
Kinematic Evaluation ◽  
Lower Limb Kinematics

ObjectivesTo determine whether a dual-camera markerless motion capture system can be used for lower limb kinematic evaluation in athletes in a preseason screening setting.DesignDescriptive laboratory study.SettingLaboratory setting.ParticipantsThirty-four (n=34) healthy athletes.Main outcome measuresThree dimensional lower limb kinematics during three functional tests: Single Leg Squat (SLS), Single Leg Jump, Modified Counter-movement Jump. The tests were simultaneously recorded using both a marker-based motion capture system and two Kinect v2 cameras using iPi Mocap Studio software.ResultsExcellent agreement between systems for the flexion/extension range of motion of the shin during all tests and for the thigh abduction/adduction during SLS were seen. For peak angles, results showed excellent agreement for knee flexion. Poor correlation was seen for the rotation movements.ConclusionsThis study supports the use of dual Kinect v2 configuration with the iPi software as a valid tool for assessment of sagittal and frontal plane hip and knee kinematic parameters but not axial rotation in athletes.

scholarly journals Kinematic parameters of throwing performance in patients with schizophrenia using a markerless motion capture system

2014 ◽  
Vol 32 (2) ◽  
pp. 77-86 ◽  
Author(s):  
Fátima Sá ◽  
António Marques ◽  
Nuno B. F. Rocha ◽  
Maria J. Trigueiro ◽  
Carlos Campos ◽  
...  
Keyword(s):  
Motion Capture ◽  
Motion Capture System ◽  
Kinematic Parameters ◽  
Markerless Motion Capture

Paper # 72: Kinematic and Kinetic Evaluation of Three Tennis Serve Types Using a Markerless Motion Capture System

2011 ◽  
Vol 27 (10) ◽  
pp. e113-e114
Author(s):  
Geoffrey D. Abrams ◽  
Alison Sheets ◽  
Stefano Corazza ◽  
Thomas P. Andriacchi ◽  
Marc Raymond Safran
Keyword(s):  
Motion Capture ◽  
Motion Capture System ◽  
Kinetic Evaluation ◽  
Markerless Motion Capture ◽  
Tennis Serve

scholarly journals Measurement of Ankle Joint Movements Using IMUs during Running

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4240
Author(s):  
Byong Hun Kim ◽  
Sung Hyun Hong ◽  
In Wook Oh ◽  
Yang Woo Lee ◽  
In Ho Kee ◽  
...  
Keyword(s):  
Ankle Joint ◽  
Motion Capture ◽  
Wearable Sensors ◽  
Intraclass Correlation ◽  
Frontal Plane ◽  
Joint Kinematics ◽  
Motion Capture System ◽  
Joint Angles ◽  
Pearson Coefficient ◽  
Coefficient Corrélation

Gait analysis has historically been implemented in laboratory settings only with expensive instruments; yet, recently, efforts to develop and integrate wearable sensors into clinical applications have been made. A limited number of previous studies have been conducted to validate inertial measurement units (IMUs) for measuring ankle joint kinematics, especially with small movement ranges. Therefore, the purpose of this study was to validate the ability of available IMUs to accurately measure the ankle joint angles by comparing the ankle joint angles measured using a wearable device with those obtained using a motion capture system during running. Ten healthy subjects participated in the study. The intraclass correlation coefficient (ICC) and standard error of measurement were calculated for reliability, whereas the Pearson coefficient correlation was performed for validity. The results showed that the day-to-day reliability was excellent (0.974 and 0.900 for sagittal and frontal plane, respectively), and the validity was good in both sagittal (r = 0.821, p < 0.001) and frontal (r = 0.835, p < 0.001) planes for ankle joints. In conclusion, we suggest that the developed device could be used as an alternative tool for the 3D motion capture system for assessing ankle joint kinematics.

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