Machine Vision-Based Application to Structural Analysis in Seismic Testing by Shaking Table

2019 ◽  
pp. 269-300
Author(s):  
Ivan Roselli ◽  
Vincenzo Fioriti ◽  
Marialuisa Mongelli ◽  
Alessandro Colucci ◽  
Gerardo De Canio
Keyword(s):  
Structural Analysis ◽  
Machine Vision ◽  
Data Processing ◽  
Motion Capture ◽  
Shaking Table ◽  
3D Motion ◽  
Measurement Systems ◽  
Seismic Testing ◽  
Motion Magnification ◽  
3D Motion Capture

In the present chapter the most recent and successful experiences in the application of machine vision-based techniques to structural analysis with main focus on seismic testing by shaking table are described and discussed. In particular, the potentialities provided by 3D motion capture methodologies and, more recently, by motion magnification analysis (MMA) emerged as interesting integrations, if not alternatives, to more conventional and consolidated measurement systems in this field. Some examples of laboratory applications are illustrated with the aim of providing evidence and details on the practical potentialities and limits of these methodologies for vibration motion acquisition, as well as on data processing and analysis.

Analysis of 3D Motion Data from Shaking Table Tests on a Scaled Model of Hagia Irene, Istanbul

2014 ◽  
Vol 624 ◽  
pp. 66-73 ◽  
Author(s):  
Ivan Roselli ◽  
Marialuisa Mongelli ◽  
Angelo Tatì ◽  
Gerardo de Canio
Keyword(s):  
Motion Capture ◽  
Structural Damage ◽  
Shaking Table ◽  
Motion Capture System ◽  
Shaking Table Tests ◽  
Dynamic Identification ◽  
Scaled Model ◽  
3D Motion ◽  
Historic Masonry ◽  
3D Motion Capture

The present paper focuses on the use of a 3D motion capture system for the dynamic identification and the damage monitoring of a 1:10 scaled mock-up (representing the large historic masonry structure of Hagia Irene, Istanbul) tested on shaking table at the ENEA Casaccia Research Center located near Rome, Italy. The dynamic identification of the structure during the shaking table tests was obtained by several techniques of Experimental Modal Analysis (EMA), such as FRF, FDD and EFDD. To such purpose Displacement Data Processing (DDP) of a large number of markers of the 3DVision (the passive 3D motion capture system installed at the ENEA laboratory) was performed. Markers were located on the tested mock-up accordingly to the indications of preliminary FEM analysis and modal shapes. Also conventional accelerometers were placed on the physical model and used as reference for the analysis of 3DVision data. In addition, the analysis of Markers Relative Displacements (MRDs) was useful to detect the occurrence and development of fractures during the tests, contributing to assessing the actual progress of the structural damage. The results from EMA techniques and MRDs analysis of 3DVision data are illustrated, showing the potentialities of this monitoring system in integrating the two complementary approaches.

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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