scholarly journals Implementation of Automatic Door Hand Code at PT. Medan Sugar Industry

JUDIMAS ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 152
Author(s):  
Hartono Hartono ◽  
Silvia Lestari ◽  
Firman Syahputra
Keyword(s):  
Human Performance ◽  
Sugar Industry ◽  
Skin Tone ◽  
Human Hand ◽  
Hand Position ◽  
Web Camera ◽  
Tone Detection

The automatic door system is a system that is used to help human performance where this system uses hand-code collected from a set of data taken by using a camera in the form of an image. Therefore the researchers conducted research for hand-code recognition in making systems, doors. automatic. use skin tone detection and overall projection to recognize human hand codes, then convert them to binary "1" and "0" forms. The process is to use a web camera to automatically take a picture in the palm of someone's hand, then extract the feature by getting the important features from hand-code based on hand position. Perform tracking and projection integration to get the handheld functionality you need. So, it can be used to open and close doors automatically.

A skin tone detection algorithm for an adaptive approach to steganography

2009 ◽  
Vol 89 (12) ◽  
pp. 2465-2478 ◽  
Author(s):  
Abbas Cheddad ◽  
Joan Condell ◽  
Kevin Curran ◽  
Paul Mc Kevitt
Keyword(s):  
Skin Tone ◽  
Detection Algorithm ◽  
Adaptive Approach ◽  
Tone Detection

Robust video steganography algorithm using adaptive skin-tone detection

2016 ◽  
Vol 76 (2) ◽  
pp. 3065-3085 ◽  
Author(s):  
Mennatallah M. Sadek ◽  
Amal S. Khalifa ◽  
Mostafa G. M. Mostafa
Keyword(s):  
Skin Tone ◽  
Video Steganography ◽  
Tone Detection

Computer Vision-Based Augmented Reality System for Assembly Interaction

2010 ◽  
Vol 37-38 ◽  
pp. 263-269 ◽  
Author(s):  
Han Wu He ◽  
Yue Ming Wu ◽  
De Tao Zheng ◽  
Yong Rao
Keyword(s):  
Computer Vision ◽  
Augmented Reality ◽  
Research Effort ◽  
Hand Tracking ◽  
Intensity Difference ◽  
Human Hand ◽  
Hand Position ◽  
Prototype System ◽  
Augmented Reality System ◽  
Traditional Approaches

A research effort aimed at creating a computer vision-based augmented reality assembly system is presented. The architecture of this system for assembly interaction is described. To realize intuitive human-computer interaction, a computer vision-based hand tracking and gesture recognition approach is applied. This approach uses the color-based method to segment the hand from background, and locate the hand position by the marker attached on hand, and then recognizes the gesture according to the geometry constraint of human hand. In comparison with the traditional approaches, this new method does not require a stationary camera, and is not sensitive with intensity difference. So, it provides a real time performance and is easy to realize. Moreover, occlusion identification is studied in this paper to raise the real and virtual objects combination effect. Finally, a prototype system is provided to demonstrate the effectiveness and robustness of the presented approaches.

A Stereometric System for Measuring Human Motion

1970 ◽  
Vol 12 (6) ◽  
pp. 523-535 ◽  
Author(s):  
M. A. Ayoub ◽  
M. M. Ayoub ◽  
J. D. Ramsey
Keyword(s):  
Performance Studies ◽  
Human Performance ◽  
Low Cost ◽  
Human Motion ◽  
Human Hand ◽  
Hand Motion ◽  
Cost System ◽  
Laboratory Investigations ◽  
Texas Tech University ◽  
Design Construction

Although several photogrammetric systems are commercially available, their cost limits the application of photogrammetric human factors studies. This paper describes a relatively low cost system developed at Texas Tech University to be used in connection with biomechanics and human performance studies. A detailed description of the basic theoretical and laboratory investigations of the various parameters which influence the design, construction, and use of the system is presented. The adequacy and accuracy of the system were measured by conducting two verification tests under static and dynamic orientations. Typical acceleration and velocity curves for human hand motion, obtained by the system, are presented.

Tracking and replication of hand movements by teleguided intelligent manipulator robot

Robotica ◽  
2014 ◽  
Vol 33 (1) ◽  
pp. 141-156 ◽  
Author(s):  
A. T. Hussain ◽  
S. Faiz Ahmed ◽  
D. Hazry
Keyword(s):  
Processing Time ◽  
Robotic System ◽  
Hand Movements ◽  
Human Hand ◽  
Hand Position ◽  
3D Space ◽  
Spherical Wrist ◽  
Mathematical Formulas ◽  
Position And Orientation ◽  
Manipulator Robot

SUMMARYIn this paper, a new method is presented that allows an intelligent manipulator robotic system to track a human hand from far distance in 3D space and estimate its orientation and position in real time with the goal of ultimately using the algorithm with a robotic spherical wrist system. In this proposed algorithm, several image processing and morphology techniques are used in conjunction with various mathematical formulas to calculate the hand position and orientation. The proposed technique was tested on Remote teleguided virtual Robotic system. Experimental results show that proposed method is a robust technique in terms of the required processing time of estimation of orientation and position of hand.

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