scholarly journals SEARCHING 3D MOTION PATTERNS OF VIETNAMESE TRADITIONAL DANCES

2021 ◽  
Author(s):  
Thi Thanh Van Le
Keyword(s):  
Feature Selection ◽  
Motion Capture ◽  
Motion Patterns ◽  
3D Motion ◽  
Digital Formats ◽  
Dynamic Time

Vietnam has many traditional dances suchas Xoan singing, “tuồng” or “chèo”. They all urgentlyneed to be preserved in digital formats, especially in3D motion capture format for dances. In digitalformats, they bring many values such as the ability toautomatically classify and search for content ofdances' movement. In this paper, we propose asystem for 3D movement search of Cheo dance 'spostures and gestures. The system applies slidingwindow technique, Dynamic Time Warpingalgorithm and a novel feature selection methodnamed CheoAngle. Results show that the proposedsystem reach good scores in several metrics. We alsocompare CheoAngle with other feature selectionmethods for 3D movement and show that CheoAnglegive the best results

Gender differences in the Achilles tendon load during the fencing lunge

2014 ◽  
Vol 6 (3) ◽  
Author(s):  
Jonathan Kenneth Sinclair ◽  
Lindsay Bottoms
Keyword(s):  
Gender Differences ◽  
Achilles Tendon ◽  
Motion Capture ◽  
Tendon Injury ◽  
Force Platform ◽  
Motion Capture System ◽  
3D Motion ◽  
Loading Rates ◽  
Tendon Pathology ◽  
3D Motion Capture

AbstractRecent epidemiological analyses in fencing have shown that injuries and pain linked specifically to fencing training/competition were evident in 92.8% of fencers. Specifically the prevalence of Achilles tendon pathology has increased substantially in recent years, and males have been identified as being at greater risk of Achilles tendon injury compared to their female counterparts. This study aimed to examine gender differences in Achilles tendon loading during the fencing lunge.Achilles tendon load was obtained from eight male and eight female club level epee fencers using a 3D motion capture system and force platform information as they completed simulated lunges. Independent t-tests were performed on the data to determine whether differences existed.The results show that males were associated with significantly greater Achilles tendon loading rates in comparison to females.This suggests that male fencers may be at greater risk from Achilles tendon pathology as a function of fencing training/ competition.

Validity of Linear Position Transducers Versus the Optotrak 3D Motion Capture System

2017 ◽  
Vol 49 (5S) ◽  
pp. 757
Author(s):  
Jessica L. Halle ◽  
Jacob A. Goldsmith ◽  
Cameron Trepeck ◽  
Ryan K. Byrnes ◽  
Daniel M. Cooke ◽  
...  
Keyword(s):  
Motion Capture ◽  
Motion Capture System ◽  
3D Motion ◽  
3D Motion Capture

scholarly journals Human Gait-labeling Uncertainty and a Hybrid Model for Gait Segmentation

2021 ◽  
Author(s):  
Jiaen Wu ◽  
Henrik Maurenbrecher ◽  
Alessandro Schaer ◽  
Barna Becsek ◽  
Chris Awai Easthope ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Capture ◽  
Ground Truth ◽  
Absolute Error ◽  
Human Gait ◽  
Heel Strike ◽  
Analysis Model ◽  
Flat Foot ◽  
Dynamic Time ◽  
Human Gait Analysis

<div><div><div><p>Motion capture systems are widely accepted as ground-truth for gait analysis and are used for the validation of other gait analysis systems.To date, their reliability and limitations in manual labeling of gait events have not been studied.</p><p><b>Objectives</b>: Evaluate human manual labeling uncertainty and introduce a new hybrid gait analysis model for long-term monitoring.</p><p><b>Methods</b>: Evaluate and estimate inter-labeler inconsistencies by computing the limits-of-agreement; develop a model based on dynamic time warping and convolutional neural network to identify a valid stride and eliminate non-stride data in walking inertial data collected by a wearable device; Gait events are detected within a valid stride region afterwards; This method makes the subsequent data computation more efficient and robust.</p><p><b>Results</b>: The limits of inter-labeler agreement for key</p><p>gait events of heel off, toe off, heel strike, and flat foot are 72 ms, 16 ms, 22 ms, and 80 ms, respectively; The hybrid model's classification accuracy for a stride and a non-stride are 95.16% and 84.48%, respectively; The mean absolute error for detected heel off, toe off, heel strike, and flat foot are 24 ms, 5 ms, 9 ms, and 13 ms, respectively.</p><p><b>Conclusions</b>: The results show the inherent label uncertainty and the limits of human gait labeling of motion capture data; The proposed hybrid-model's performance is comparable to that of human labelers and it is a valid model to reliably detect strides in human gait data.</p><p><b>Significance</b>: This work establishes the foundation for fully automated human gait analysis systems with performances comparable to human-labelers.</p></div></div></div>

ENHANCING DYNAMOMETER EXPERIMENTS WITH 6D FORCE REGISTRATION AND 3D MOTION CAPTURE

2012 ◽  
Vol 45 ◽  
pp. S376
Author(s):  
Anke A. Van Campen ◽  
Friedl De Groote ◽  
Ilse Jonkers ◽  
Joris De Schutter
Keyword(s):  
Motion Capture ◽  
3D Motion ◽  
3D Motion Capture

scholarly journals 3D Motion Capture May Detect Spatiotemporal Changes in Pre-Reaching Upper Extremity Movements with and without a Real-Time Constraint Condition in Infants with Perinatal Stroke and Cerebral Palsy: A Longitudinal Case Series

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7312
Author(s):  
Julia Mazzarella ◽  
Mike McNally ◽  
Daniel Richie ◽  
Ajit M. W. Chaudhari ◽  
John A. Buford ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Real Time ◽  
Upper Extremity ◽  
Motion Capture ◽  
The Body ◽  
Laboratory Simulation ◽  
Perinatal Stroke ◽  
3D Motion ◽  
Spatiotemporal Characteristics ◽  
3D Motion Capture

Perinatal stroke (PS), occurring between 20 weeks of gestation and 28 days of life, is a leading cause of hemiplegic cerebral palsy (HCP). Hallmarks of HCP are motor and sensory impairments on one side of the body—especially the arm and hand contralateral to the stroke (involved side). HCP is diagnosed months or years after the original brain injury. One effective early intervention for this population is constraint-induced movement therapy (CIMT), where the uninvolved arm is constrained by a mitt or cast, and therapeutic activities are performed with the involved arm. In this preliminary investigation, we used 3D motion capture to measure the spatiotemporal characteristics of pre-reaching upper extremity movements and any changes that occurred when constraint was applied in a real-time laboratory simulation. Participants were N = 14 full-term infants: N = six infants with typical development; and N = eight infants with PS (N = three infants with PS were later diagnosed with cerebral palsy (CP)) followed longitudinally from 2 to 6 months of age. We aimed to evaluate the feasibility of using 3D motion capture to identify the differences in the spatiotemporal characteristics of the pre-reaching upper extremity movements between the diagnosis group, involved versus uninvolved side, and with versus and without constraint applied in real time. This would be an excellent application of wearable sensors, allowing some of these measurements to be taken in a clinical or home setting.

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