Automated Judgment for Chin-Up Exercises Based on Microsoft Kinect Image System

2014 ◽  
Vol 945-949 ◽  
pp. 1775-1779
Author(s):  
Su Fang Zhao ◽  
Bing Luo
Keyword(s):  
Image Segmentation ◽  
Image Recognition ◽  
The Other ◽  
Microsoft Kinect ◽  
Automated System ◽  
Depth Image ◽  
Image System ◽  
Physical Exercises ◽  
Key Points ◽  
Computer Based

Chin-up physical exercises need to be judged regular or foul and counted, the work can be automated finished by computer based on image recognition accurately and objectively. There are two difficulties in this automated system: one is to judge whether chin has been above the bar, the other is to determine whether chin-up arms have moment unbent state during sagging. This paper proposed judging chin above bar by Microsoft Kinect depth image and determining arm unbending by skeletal tracking. Depth image can help image segmentation, and skeletal tracking can position key points of arms. Experimental results showed that the approach could automate judge chin-up rapidly, accurately and practically.

scholarly journals Mariology, Anthropology, Synergy and Grace: Why Is Luther So Far Apart from Cabasilas?

Religions ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 343
Author(s):  
Panagiotis Kantartzis
Keyword(s):  
The Other ◽  
Eastern Orthodox ◽  
Evangelical Christians ◽  
Key Points ◽  
The One ◽  
Mutual Agreement

The issue of “Mariology” is one that divides the Eastern Orthodox and the Evangelical Christians. In this paper we are approaching the issue through the juxtaposition and comparison of the three Mariological sermons of Nicholas Cabasilas, on the one hand, with Martin Luther’s Commentary on the Magnificat, on the other. The study of the two works side by side will bring to surface the theological presuppositions which explain the differences between the Eastern Orthodox and the Evangelical views. It will also help us identify some key points that need further discussion and clarification but also ways to reach a point of mutual agreement and understanding.

Fracture Extraction from Smooth Rock Surfaces Using Depth Image Segmentation

2021 ◽  
Author(s):  
Yudi Tang ◽  
Lei He ◽  
Huaiguang Xiao ◽  
Ruihua Wang ◽  
Wei Lu ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Depth Image

One Extended OTSU Flame Image Recognition Method Using RGBL and Stripe Segmentation

2011 ◽  
Vol 121-126 ◽  
pp. 2141-2145 ◽  
Author(s):  
Wei Gang Yan ◽  
Chang Jian Wang ◽  
Jin Guo
Keyword(s):  
Image Segmentation ◽  
Water Vapor ◽  
Image Recognition ◽  
Recognition Accuracy ◽  
New Method ◽  
Recognition Method ◽  
Otsu’S Method ◽  
Flame Shape ◽  
Image Segmentation Algorithm ◽  
Rgb Image

This paper proposes a new image segmentation algorithm to detect the flame image from video in enclosed compartment. In order to avoid the contamination of soot and water vapor, this method first employs the cubic root of four color channels to transform a RGB image to a pseudo-gray one. Then the latter is divided into many small stripes (child images) and OTSU is employed to perform child image segmentation. Lastly, these processed child images are reconstructed into a whole image. A computer program using OpenCV library is developed and the new method is compared with other commonly used methods such as edge detection and normal Otsu’s method. It is found that the new method has better performance in flame image recognition accuracy and can be used to obtain flame shape from experiment video with much noise.

scholarly journals Generation of an EDS Key Based on a Graphic Image of a Subject’s Face Using the RC4 Algorithm

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 19
Author(s):  
Alexey Semenkov ◽  
Dmitry Bragin ◽  
Yakov Usoltsev ◽  
Anton Konev ◽  
Evgeny Kostuchenko
Keyword(s):  
Image Recognition ◽  
Random Number ◽  
Statistical Test ◽  
The Other ◽  
Test Results ◽  
Random Generation ◽  
Facial Image ◽  
Random Number Generators ◽  
Graphic Image ◽  
High Level

Modern facial recognition algorithms make it possible to identify system users by their appearance with a high level of accuracy. In such cases, an image of the user’s face is converted to parameters that later are used in a recognition process. On the other hand, the obtained parameters can be used as data for pseudo-random number generators. However, the closeness of the sequence generated by such a generator to a truly random one is questionable. This paper proposes a system which is able to authenticate users by their face, and generate pseudo-random values based on the facial image that will later serve to generate an encryption key. The generator of a random value was tested with the NIST Statistical Test Suite. The subsystem of image recognition was also tested under various conditions of taking the image. The test results of the random value generator show a satisfactory level of randomness, i.e., an average of 0.47 random generation (NIST test), with 95% accuracy of the system as a whole.

Design and Implementation of Contour Tracing Image Recognition System

2014 ◽  
Vol 543-547 ◽  
pp. 2209-2212
Author(s):  
Chun Hua Xiong ◽  
You Jie Zhou ◽  
Gao Jun An ◽  
Chang Bo Lu
Keyword(s):  
Embedded System ◽  
Image Recognition ◽  
Integrated Design ◽  
Recognition System ◽  
Image System ◽  
Intelligent Monitoring ◽  
Contour Tracing ◽  
The Embedded System ◽  
Imaging Sensor ◽  
Very High

Based on the existing contour tracing image recognition technology, combining the embedded system technology and the computer storage control technology, the author makes an integrated design, adopts the image processing chip, USB controller, the imaging sensor and other hardware circuits and develops an intelligent image system. The system can make real-time monitoring the size and change of millimeter-sized irregular target objects. Its applicable value in the fields such as intelligent monitoring of oil equipment, medical imaging and criminal investigation is very high.

Reconstruction of somatosensory interaction in Fuzhou Shadow Play based on depth image recognition

2021 ◽  
Author(s):  
Peng Shan ◽  
Wenzhi Wang ◽  
Wenxuan Zhao ◽  
Zishen Yang
Keyword(s):  
Image Recognition ◽  
Depth Image ◽  
Shadow Play

scholarly journals Performance of Black and Indigenous applicants in a medical school admissions process

2021 ◽  
Author(s):  
Katherine Girgulis ◽  
Andrea Rideout ◽  
Mohsin Rashid
Keyword(s):  
Medical School ◽  
Demographic Data ◽  
Personal Characteristics ◽  
The Other ◽  
Medical School Admissions ◽  
Indigenous Group ◽  
Computer Based ◽  
Acceptance Rates ◽  
Admissions Process ◽  
Multiple Mini Interview

Background: Diversity in medical schools has lagged behind Canada’s growing multicultural population. Dalhousie medical school allows Black and Indigenous applicants to self-identify. We examined how these applicants performed and progressed through the admissions process compared to Other group (applicants who did not self-identify). Methods: Retrospective analysis of four application cycles (2015-2019) was conducted, comparing demographic data, scores for application components (Computer-Based Assessment for Sampling Personal Characteristics (CASPer), MCAT, GPA, supplemental, discretionary, Multiple Mini Interview (MMI)), and final application status between the three groups. Results: Of 1322 applicants, 104 identified as Black, 64 Indigenous, and 1154 Other. GPA was higher in the Other compared to the Indigenous group (p < 0.001). CASPer score was higher in the Other compared to the Black group (p = 0.047). There was no difference between groups for all other application components. A large proportion of Black and Indigenous applicants had incomplete applications. Acceptance rates were similar between all groups. Black applicants declined an admission offer substantially more than expected (31%; p < 0.001). Conclusions: Black and Indigenous applicants who completed their application progressed well through the admissions process. The pool of diverse applicants needs to be increased and support provided for completion of applications. Further study is warranted to understand why qualified applicants decline acceptance.

scholarly journals How policing has changed since COVID-19

2021 ◽  
Vol 3 (3) ◽  
pp. 88-90
Author(s):  
Asif Rashid
Keyword(s):  
Emergency Management ◽  
West Coast ◽  
The Other ◽  
Management Systems ◽  
Key Points ◽  
Question And Answer

Superintendent Asif Rashid of Calgary Police discussed policing changes since COVID-19 on November 26, 2020 at the 2020 CASIS West Coast Security Conference. The presentation was followed by a question and answer period with the other speakers of the panel. The key points discussed were how policing was changed to adapt to the challenges of COVID-19, emergency management systems, and technological issues.

scholarly journals Plant Diseases Recognition Based on Image Processing Technology

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Guiling Sun ◽  
Xinglong Jia ◽  
Tianyu Geng
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Image Recognition ◽  
Color Image ◽  
Regional Growth ◽  
Recognition System ◽  
Plant Diseases ◽  
Image Feature

A new image recognition system based on multiple linear regression is proposed. Particularly, there are a number of innovations in image segmentation and recognition system. In image segmentation, an improved histogram segmentation method which can calculate threshold automatically and accurately is proposed. Meanwhile, the regional growth method and true color image processing are combined with this system to improve the accuracy and intelligence. While creating the recognition system, multiple linear regression and image feature extraction are utilized. After evaluating the results of different image training libraries, the system is proved to have effective image recognition ability, high precision, and reliability.

Summary

2019 ◽  
pp. 264-266
Author(s):  
Alan J. McComas
Keyword(s):  
Sensory Processing ◽  
The Other ◽  
Physiological Feature ◽  
Other Hand ◽  
Key Points ◽  
Sensory Features ◽  
Abundant Evidence ◽  
Rhythmical Activity ◽  
Neurophysiological Activity

This chapter summarizes the key points of the preceding chapters and embarks on a number of speculations. It shows that the strength of the evidence for each of the preceding statements varies. On one hand, some propositions are based merely on the supposition that it would make sense if an anatomical or physiological feature functioned in a certain way (such as sensory processing by back-projections). On the other hand, the proposition for “time-chunking” seems irrefutable in view of the abundant evidence from masking experiments. Further, given the existence of time-chunking, then not only is the case for binding of sensory features by common rhythmical activity untenable, but one can also then look for neurophysiological activity that would fit in with time-chunking. Ultimately, this chapter presents both of these key speculations and the evidence for them and leaves the reader to decide for themselves.

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