Markerless Motion Capture of Human Body Using PSO with Single Depth Camera

2012 ◽  
Author(s):  
Tianwei Xing ◽  
Yao Yu ◽  
Yu Zhou ◽  
Sidan Du
Keyword(s):  
Motion Capture ◽  
Human Body ◽  
Depth Camera ◽  
Markerless Motion Capture

scholarly journals Automated Quantification of the Landing Error Scoring System With a Markerless Motion-Capture System

2017 ◽  
Vol 52 (11) ◽  
pp. 1002-1009 ◽  
Author(s):  
Timothy C. Mauntel ◽  
Darin A. Padua ◽  
Laura E. Stanley ◽  
Barnett S. Frank ◽  
Lindsay J. DiStefano ◽  
...  
Keyword(s):  
Motion Capture ◽  
Scoring System ◽  
Video Recording ◽  
Automated System ◽  
Depth Camera ◽  
Motion Capture System ◽  
Percentage Agreement ◽  
Jump Landing ◽  
Markerless Motion Capture ◽  
Consensus Expert

Context:  The Landing Error Scoring System (LESS) can be used to identify individuals with an elevated risk of lower extremity injury. The limitation of the LESS is that raters identify movement errors from video replay, which is time-consuming and, therefore, may limit its use by clinicians. A markerless motion-capture system may be capable of automating LESS scoring, thereby removing this obstacle. Objective:  To determine the reliability of an automated markerless motion-capture system for scoring the LESS. Design:  Cross-sectional study. Setting:  United States Military Academy. Patients or Other Participants:  A total of 57 healthy, physically active individuals (47 men, 10 women; age = 18.6 ± 0.6 years, height = 174.5 ± 6.7 cm, mass = 75.9 ± 9.2 kg). Main Outcome Measure(s):  Participants completed 3 jump-landing trials that were recorded by standard video cameras and a depth camera. Their movement quality was evaluated by expert LESS raters (standard video recording) using the LESS rubric and by software that automates LESS scoring (depth-camera data). We recorded an error for a LESS item if it was present on at least 2 of 3 jump-landing trials. We calculated κ statistics, prevalence- and bias-adjusted κ (PABAK) statistics, and percentage agreement for each LESS item. Interrater reliability was evaluated between the 2 expert rater scores and between a consensus expert score and the markerless motion-capture system score. Results:  We observed reliability between the 2 expert LESS raters (average κ = 0.45 ± 0.35, average PABAK = 0.67 ± 0.34; percentage agreement = 0.83 ± 0.17). The markerless motion-capture system had similar reliability with consensus expert scores (average κ = 0.48 ± 0.40, average PABAK = 0.71 ± 0.27; percentage agreement = 0.85 ± 0.14). However, reliability was poor for 5 LESS items in both LESS score comparisons. Conclusions:  A markerless motion-capture system had the same level of reliability as expert LESS raters, suggesting that an automated system can accurately assess movement. Therefore, clinicians can use the markerless motion-capture system to reliably score the LESS without being limited by the time requirements of manual LESS scoring.

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

Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation

2009 ◽  
Vol 87 (1-2) ◽  
pp. 156-169 ◽  
Author(s):  
Stefano Corazza ◽  
Lars Mündermann ◽  
Emiliano Gambaretto ◽  
Giancarlo Ferrigno ◽  
Thomas P. Andriacchi
Keyword(s):  
Motion Capture ◽  
Specific Model ◽  
Model Generation ◽  
Visual Hull ◽  
Markerless Motion Capture ◽  
Subject Specific

Measuring human movement for biomechanical applications using markerless motion capture

2006 ◽  
Author(s):  
Lars Mündermann ◽  
Stefano Corazza ◽  
Ajit M. Chaudhari ◽  
Thomas P. Andriacchi ◽  
Aravind Sundaresan ◽  
...  
Keyword(s):  
Motion Capture ◽  
Human Movement ◽  
Markerless Motion Capture

Biomechanics Analysis of Sepak Takraw Tekong Serves via Depth Camera Motion Capture System

2018 ◽  
pp. 119-128
Author(s):  
Muhammad Zulhilmi Kaharuddin ◽  
Siti Badriah Khairu Razak ◽  
Mohamed Shawal Abd Rahman ◽  
Wee Chang An ◽  
Muhammad Ikram Kushairi ◽  
...  
Keyword(s):  
Motion Capture ◽  
Depth Camera ◽  
Camera Motion ◽  
Motion Capture System

scholarly journals Staying Well Grounded in Markerless Motion Capture

2008 ◽  
pp. 385-395 ◽  
Author(s):  
Bodo Rosenhahn ◽  
Christian Schmaltz ◽  
Thomas Brox ◽  
Joachim Weickert ◽  
Hans-Peter Seidel
Keyword(s):  
Motion Capture ◽  
Markerless Motion Capture
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