Sensor-Free Computer Vision Hand-Motion Entropy and Video Analysis of Technical Performance During Open Vascular Surgery: Proof of Concept for Methodology

2016 ◽  
Vol 223 (4) ◽  
pp. e63 ◽  
Author(s):  
Colin F. Mackenzie ◽  
Darcy Watts ◽  
Rajan R. Patel ◽  
Shiming Yang ◽  
Evan Garofalo ◽  
...  
2018 ◽  
Vol 6 (1) ◽  
pp. 67-77 ◽  
Author(s):  
Vladimir V. Borzikov ◽  
Natalia N. Rukina ◽  
Alexei N. Kuznetsov ◽  
Anna N. Belova

This study provides an overview of the recent literature regarding the assessment methods of the functional state of the locomotor system in children with cerebral palsy. The objective methods of quantitative assessment of motor disorders in cerebral palsy are presented, including the measurement of stability, biomechanical assessment of walking, and video analysis of movements. The influence of the cognitive load on the ability to maintain the vertical posture in children with cerebral palsy as well as the changes in the stability of the vertical posture with closed eyes were observed. Changes in the walking parameters with an increase in the speed were also recorded in children with cerebral palsy. Methods that assess hand motion in children with cerebral palsy include tests involving the moving of objects, tests for speed assessment in joint movements, and video analysis of motions. The methods and tests for such an evaluation require to be valid and reliable, allowing an objective assessment of the severity of motor disorders in cerebral palsy.


2009 ◽  
Vol 66 (6) ◽  
pp. 367-373 ◽  
Author(s):  
Jason T. Lee ◽  
Mary Qiu ◽  
Mediget Teshome ◽  
Shyam S. Raghavan ◽  
Maureen M. Tedesco ◽  
...  

2012 ◽  
Vol 433-440 ◽  
pp. 4651-4655
Author(s):  
Hui Qing Lu ◽  
Wei Nan Zhu ◽  
Yu Chao Zhou

This paper proposes an intelligent video analysis technology for elevator cage abnormality detection in computer vision. By collecting, processing, and analyzing video images in real time, the feature vectors including the variation of foreground pixels, the variation of length and width of foreground region’s enclosing rectangle and the variation of foreground region’s center of mass are obtained. The background is modeled by the Codebook Subtraction algorithm,these feature data are processed via K-Means clustering to get observation sequences, which are used to model a Hidden Markov Model (HMMs) for the normal activity. Last, the abnormalities are identified by the difference, which is predetermined by observing the normal and abnormal activity testing sequences, from normal activity model


2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Jeanette J Rainey ◽  
Anil Cheriyadat ◽  
Richard J Radke ◽  
Julie Suzuki Crumly ◽  
Daniel B Koch

2019 ◽  
Vol 201 (Supplement 4) ◽  
Author(s):  
Amir Baghdadi* ◽  
Ahmed A. Hussein ◽  
Ahmed S. Elsayed ◽  
Naif A. Aldhaam ◽  
Lora A. Cavuoto ◽  
...  

2014 ◽  
Vol 926-930 ◽  
pp. 2743-2746 ◽  
Author(s):  
Rui Min Hu ◽  
Zhen Dong He ◽  
Feng Bai

With the rapid development of computer technology, human motion tracking based on video is a kind of using ordinary camera tracking unmarked human movement technology. It has important application value in automatic monitoring, human-computer interaction, sports analysis and many other fields. This research is a hot research direction in the field of computer vision in recent years. Because of the complexity of the problem and the lack of understanding of the nature of the human visual tracking based on video is always a difficult problem in computer vision. The research content of this article is set in sports training, for motion analysis of non-contact, no interfere with measurement and simulation requirements, the use of computer graphics and computer vision technology, discussing 3D human motion simulation technology based on video analysis.


PM&R ◽  
2014 ◽  
Vol 7 (3) ◽  
pp. 336-339 ◽  
Author(s):  
Justin C. Paul ◽  
Anthony Petrizzo ◽  
John-Ross Rizzo ◽  
Kristina Bianco ◽  
Stephen Maier ◽  
...  

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