Intelligent Choreography Algorithm Recorded by Optical Motion Capture System through Directed Graph Neural Networks

2021 ◽  
Author(s):  
Huang Dongjin ◽  
Chen Yinan ◽  
Xu Jinna
Keyword(s):  
Neural Networks ◽  
Motion Capture ◽  
Directed Graph ◽  
Motion Capture System ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Graph Neural Networks

scholarly journals Gap Reconstruction in Optical Motion Capture Sequences Using Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6115
Author(s):  
Przemysław Skurowski ◽  
Magdalena Pawlyta
Keyword(s):  
Neural Networks ◽  
Motion Capture ◽  
Matrix Completion ◽  
Input Sequence ◽  
Feedforward Neural Networks ◽  
Network Architectures ◽  
Motion Data ◽  
Optical Motion ◽  
Body Kinematic ◽  
Optical Motion Capture

Optical motion capture is a mature contemporary technique for the acquisition of motion data; alas, it is non-error-free. Due to technical limitations and occlusions of markers, gaps might occur in such recordings. The article reviews various neural network architectures applied to the gap-filling problem in motion capture sequences within the FBM framework providing a representation of body kinematic structure. The results are compared with interpolation and matrix completion methods. We found out that, for longer sequences, simple linear feedforward neural networks can outperform the other, sophisticated architectures, but these outcomes might be affected by the small amount of data availabe for training. We were also able to identify that the acceleration and monotonicity of input sequence are the parameters that have a notable impact on the obtained results.

DEVELOPMENT OF MOTION CAPTURE SYSTEM USING DUAL VIDEO CAMERAS FOR THE GAIT DESIGN OF A BIPED ROBOT

2011 ◽  
Vol 08 (02) ◽  
pp. 275-299 ◽  
Author(s):  
JUNG-YUP KIM ◽  
YOUNG-SEOG KIM
Keyword(s):  
Motion Capture ◽  
Human Walking ◽  
Human Gait ◽  
Motion Capture System ◽  
System Calibration ◽  
Walking Gait ◽  
Video Cameras ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Motion Capture Systems

This paper, describes the development of a motion capture system with novel features for biped robots. In general, motion capture is effectively utilized in the field of computer animation. In the field of humanoid robotics, the number of studies attempting to design human-like gaits by using expensive optical motion capture systems is increasing. The optical motion capture systems used in these studies have involved a large number of cameras because such systems use small-sized ball markers; hence the position accuracy of the markers and the system calibration are very significant. However, since the human walking gait is a simple periodic motion rather than a complex motion, we have developed a specialized motion capture system for this study using dual video cameras and large band-type markers without high-level system calibration in order to capture the human walking gait. In addition to its lower complexity, the proposed capture method requires only a low-cost system and has high space efficiency. An image processing algorithm is also proposed for deriving the human gait data. Finally, we verify the reliability and accuracy of our system by comparing a zero moment point (ZMP) trajectory calculated by the motion captured data with a ZMP trajectory measured by foot force sensors.

A gait analysis using optical motion capture system with large scale pressure sensor

2017 ◽  
Vol 2017 (0) ◽  
pp. A-36
Author(s):  
Tatsuro Ishizuka ◽  
Tokio Maeda ◽  
Sakura Yamaji ◽  
Yuji Ohgi ◽  
Humiaki Shibayama ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Capture ◽  
Pressure Sensor ◽  
Large Scale ◽  
Motion Capture System ◽  
Optical Motion ◽  
Optical Motion Capture

scholarly journals The Reliability and Validity of a Clinical Assessment Tool to Measure Scapular Motion in All Three Anatomical Planes

2020 ◽  
Author(s):  
Oliver A Silverson ◽  
Nicole G Cascia ◽  
Carolyn M Hettrich ◽  
Nicholas R Heebner ◽  
Tim L Uhl
Keyword(s):  
Motion Capture ◽  
Reliability And Validity ◽  
Motion Capture System ◽  
Rater Reliability ◽  
Optical Motion ◽  
Arm Elevation ◽  
Clinical Measurements ◽  
Optical Motion Capture ◽  
Anatomical Plane ◽  
Scapular Motion

Abstract Context: A single clinical assessment device that objectively measures scapular motion in each anatomical plane is not currently available. The development of a novel electric goniometer affords the ability to quantify scapular motion in all three anatomical planes. Objective: Investigate the reliability and validity of an electric goniometer to measure scapular motion in each anatomical plane during arm elevation. Design: Cross-sectional. Setting: Laboratory setting. Patients or Other Participants: Sixty participants (29 females, 31 males) were recruited from the general population. Intervention(s): An electric goniometer was used to record clinical measurements of scapular position at rest and total arc of motion (excursion) during active arm elevation in two testing sessions separated by several days. Measurements were recorded independently by two examiners. In one session, scapular motion was recorded simultaneously with a 14-camera three-dimensional optical motion capture system. Main Outcome Measures: Reliability analysis included examination of clinical measurements for scapular position at rest and excursion during each condition. Both the intra-rater reliability between testing sessions and the inter-rater reliability recorded within the same session were assessed using Intraclass Correlation Coefficients (ICC2,3). The criterion-validity was examined by comparing the mean excursion values of each condition recorded by the electric goniometer to the 3D optical motion capture system. Validity was assessed by evaluating the average difference and root mean square error (RMSE). Results: The between session intra-rater reliability was moderate to good (ICC2,3: 0.628–0.874). The within session inter-rater reliability was moderate to excellent (ICC2,3: 0.545–0.912). The average difference between the electric goniometer and 3D optical motion capture system ranged from −7° to 4° and the RMSE was between 7–10°. Conclusions: The reliability of scapular measurements is best when a standard operating procedure is used. The electric goniometer provides an accurate measurement of scapular excursions in all three anatomical planes during arm elevation.

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