Power estimation of martial arts movement using 3D motion capture camera

2017 ◽  
Author(s):  
Nur Zaidi Azraai ◽  
Ahmad Afiq Sabqi Awang Soh ◽  
Mohd Zubir Mat Jafri
Keyword(s):  
Motion Capture ◽  
Martial Arts ◽  
Power Estimation ◽  
3D Motion ◽  
3D Motion Capture

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

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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