Visualization of Database Query Improved by Fuzzy Logic Using Virtual Reality

2016 ◽  
Author(s):  
Vanessa Avelino Xavier de Camargo ◽  
Marcos Wagner de Souza Ribeiro
Keyword(s):  
Virtual Reality ◽  
Fuzzy Logic ◽  
Database Query

Visualization of Database Query Improved by Fuzzy Logic Using Virtual Reality

2016 ◽  
Author(s):  
Vanessa Avelino Xavier de Camargo ◽  
Marcos Wagner de Souza Ribeiro
Keyword(s):  
Virtual Reality ◽  
Fuzzy Logic ◽  
Database Query

scholarly journals A virtual reality exposure therapy for PTSD patientes controlled by a fuzzy logic system

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Fernando M. de Oliveira ◽  
Regina S. Lanzillotti ◽  
Rosa M. E. M. da Costa ◽  
Raquel Gonçalves ◽  
Paula Ventura ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Fuzzy Logic ◽  
Exposure Therapy ◽  
Fuzzy Logic System ◽  
Virtual Reality Exposure Therapy ◽  
Virtual Reality Exposure ◽  
Logic System

Influence of virtual reality and 3D printing on architectural innovation evaluation based on quality of experience evaluation using fuzzy logic

2021 ◽  
Vol 40 (4) ◽  
pp. 8501-8509
Author(s):  
Yangxuan ◽  
Zhaoqianjing
Keyword(s):  
Virtual Reality ◽  
Fuzzy Logic ◽  
3D Printing ◽  
Virtual Environment ◽  
Construction Industry ◽  
Quality Of Experience ◽  
New Technologies ◽  
Architectural Innovation ◽  
Manufacture Engineering

In the last few years, the construction industry’s primary energydem and in developed economies accounted for 30%–40%, and technological innovation is considered to be an urgent need for the transformation and upgrading of the construction industry. New technological innovations are continually changing the way the construction industry is implemented. In the construction industry, artificial intelligence is beginning to change all aspects of the construction industry, in the field of equipment planning, overall layout, safety, management and other fields have caused many changes. The integration of new technologies has revolutionized the traditional construction industry, such as virtual reality technology and 3D printing technology. In this work, we propose a categorization for assessing Virtual reality and 3D printing of Architectural Innovation on the basis of quality of experience (QoE) metric Evaluation of virtual environment using Fuzzy Logic (FL) System. The simulation result is analysed based on the comparative analysis of user experience with Fuzzy logic estimation for perception of virtual environment. The result analysis validated that the proposed FL system replicates the user valuation for architecture innovation applications more precisely and accurately thus FL is efficient method for predicting the inclusive QoE of a virtual reality and 3D printing. This paper will recapitulate the expansion of the two techniques in the manufacture engineering, demeanor examination on the presentation of diverse skills in architectural innovation, as well as explain through real cases how these two techniques have an influence on the improvement of the manufacture engineering. Simultaneously, this paper discourses the limitations of technology mixing and put advancing opinions on the future development of the manufactureengineering.

scholarly journals Capture of 3D Human Motion Pose in Virtual Reality Based on Video Recognition

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Qiang Fu ◽  
Xingui Zhang ◽  
Jinxiu Xu ◽  
Haimin Zhang
Keyword(s):  
Virtual Reality ◽  
Fuzzy Logic ◽  
Human Body ◽  
Estimation Algorithm ◽  
Human Motion ◽  
Body Motion ◽  
Classification Model ◽  
Accuracy Rate ◽  
Motion State ◽  
Adaptive Adjustment

Motion pose capture technology can effectively solve the problem of difficulty in defining character motion in the process of 3D animation production and greatly reduce the workload of character motion control, thereby improving the efficiency of animation development and the fidelity of character motion. Motion gesture capture technology is widely used in virtual reality systems, virtual training grounds, and real-time tracking of the motion trajectories of general objects. This paper proposes an attitude estimation algorithm adapted to be embedded. The previous centralized Kalman filter is divided into two-step Kalman filtering. According to the different characteristics of the sensors, they are processed separately to isolate the cross-influence between sensors. An adaptive adjustment method based on fuzzy logic is proposed. The acceleration, angular velocity, and geomagnetic field strength of the environment are used as the input of fuzzy logic to judge the motion state of the carrier and then adjust the covariance matrix of the filter. The adaptive adjustment of the sensor is converted to the recognition of the motion state. For the study of human motion posture capture, this paper designs a verification experiment based on the existing robotic arm in the laboratory. The experiment shows that the studied motion posture capture method has better performance. The human body motion gesture is designed for capturing experiments, and the capture results show that the obtained pose angle information can better restore the human body motion. A visual model of human motion posture capture was established, and after comparing and analyzing with the real situation, it was found that the simulation approach reproduced the motion process of human motion well. For the research of human motion recognition, this paper designs a two-classification model and human daily behaviors for experiments. Experiments show that the accuracy of the two-category human motion gesture capture and recognition has achieved good results. The experimental effect of SVC on the recognition of two classifications is excellent. In the case of using all optimization algorithms, the accuracy rate is higher than 90%, and the final recognition accuracy rate is also higher than 90%. In terms of recognition time, the time required for human motion gesture capture and recognition is less than 2 s.

Top-Down Processing and Visual Reorientation Illusions in a Virtual Reality Environment

2004 ◽  
Vol 63 (3) ◽  
pp. 143-149 ◽  
Author(s):  
Fred W. Mast ◽  
Charles M. Oman
Keyword(s):  
Virtual Reality ◽  
Visual Processing ◽  
Line Length ◽  
Perceptual Cues ◽  
Virtual Reality Environment ◽  
Top Down ◽  
Test Conditions ◽  
The Subject ◽  
Processing Mechanisms

The role of top-down processing on the horizontal-vertical line length illusion was examined by means of an ambiguous room with dual visual verticals. In one of the test conditions, the subjects were cued to one of the two verticals and were instructed to cognitively reassign the apparent vertical to the cued orientation. When they have mentally adjusted their perception, two lines in a plus sign configuration appeared and the subjects had to evaluate which line was longer. The results showed that the line length appeared longer when it was aligned with the direction of the vertical currently perceived by the subject. This study provides a demonstration that top-down processing influences lower level visual processing mechanisms. In another test condition, the subjects had all perceptual cues available and the influence was even stronger.

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