scholarly journals A Multi Model Framework for Grading of Human Emotion Using CNN and Computer Vision

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Facial Expression ◽  
Local Binary Pattern ◽  
Current System ◽  
Confusion Matrix ◽  
Patient Treatment ◽  
Model Framework ◽  
The Neural Network ◽  
Crime Detection ◽  
Grade 3 ◽  
The Individual

Emotion analysis is an area which is been widely used in the forensic crime detection domain, a mentoring device for depressed students, psychologically affected patient treatment. The current system helps only in identifying the emotions but not in identifying the level of emotions like whether the individual is truly happy/sad or pretending to be happy /sad. In this proposed work a novel methodology has been introduced. We have rebuilt the Traditional Local Binary Pattern (LBP) feature operator to image the expression and combine the abstract characteristics of facial expression learned from the neural network of deep convolution with the modified features of the texture of the LBP facial expression in the full connection layer. These extracted features have been subjected as input for CNN Alex Net to classify the level of emotions. The results obtained in this phase are used in the confusion matrix for analysis of grading of emotions like Grade-1, Grade-2, and Grade-3 obtained an accuracy of 87.58% in the comparative analysis.

scholarly journals RECOGNIZE HAPPY AND SADNESS EMOTIONS USING MUTUAL INFORMATION AND SUPPORT VECTOR CLASSIFICATION METHODS

2021 ◽  
Vol 03 (02) ◽  
pp. 204-208
Author(s):  
Ielaf O. Abdul-Majjed DAHL
Keyword(s):  
Mutual Information ◽  
Facial Expression ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Gabor Filter ◽  
Current System ◽  
Support Vector ◽  
Expression Recognition ◽  
Support Vector Classifier ◽  
The Individual

In the past decade, the field of facial expression recognition has attracted the attention of scientists who play an important role in enhancing interaction between human and computers. The issue of facial expression recognition is not a simple matter of machine learning, because expression of the individual differs from one person to another based on the various contexts, backgrounds and lighting. The goal of the current system was to achieve the highest rate for two facial expressions ("happy" and "sad") The objective of the current work was to attain the highest rate in classification with computer vision algorithms for two facial expressions ("happy" and "sad"). This was accomplished through several phases started from image pre-processing to the Gabor filter extraction, which was then used for the extraction of important characteristics with mutual information. The expression was finally recognized by a support vector classifier. Cohn-Kanade database and JAFFE data base have been trained and checked. The rates achieved by the qualified data package were 81.09% and 92.85% respectively.

scholarly journals Landslide Mapping Using Multiscale LiDAR Digital Elevation Models

2020 ◽  
Vol 26 (4) ◽  
pp. 405-425
Author(s):  
Javed Miandad ◽  
Margaret M. Darrow ◽  
Michael D. Hendricks ◽  
Ronald P. Daanen
Keyword(s):  
Image Classification ◽  
Vegetation Index ◽  
Confusion Matrix ◽  
Object Oriented ◽  
Support Vector ◽  
Classification Approach ◽  
Resolution Image ◽  
Kappa Value ◽  
The Individual ◽  
Segmentation Image

ABSTRACT This study presents a new methodology to identify landslide and landslide-susceptible locations in Interior Alaska using only geomorphic properties from light detection and ranging (LiDAR) derivatives (i.e., slope, profile curvature, and roughness) and the normalized difference vegetation index (NDVI), focusing on the effect of different resolutions of LiDAR images. We developed a semi-automated object-oriented image classification approach in ArcGIS 10.5 and prepared a landslide inventory from visual observation of hillshade images. The multistage work flow included combining derivatives from 1-, 2.5-, and 5-m-resolution LiDAR, image segmentation, image classification using a support vector machine classifier, and image generalization to clean false positives. We assessed classification accuracy by generating confusion matrix tables. Analysis of the results indicated that LiDAR image scale played an important role in the classification, and the use of NDVI generated better results. Overall, the LiDAR 5-m-resolution image with NDVI generated the best results with a kappa value of 0.55 and an overall accuracy of 83 percent. The LiDAR 1-m-resolution image with NDVI generated the highest producer accuracy of 73 percent in identifying landslide locations. We produced a combined overlay map by summing the individual classified maps that was able to delineate landslide objects better than the individual maps. The combined classified map from 1-, 2.5-, and 5-m-resolution LiDAR with NDVI generated producer accuracies of 60, 80, and 86 percent and user accuracies of 39, 51, and 98 percent for landslide, landslide-susceptible, and stable locations, respectively, with an overall accuracy of 84 percent and a kappa value of 0.58. This semi-automated object-oriented image classification approach demonstrated potential as a viable tool with further refinement and/or in combination with additional data sources.

scholarly journals Universities of the Russian Empire in Autobiographies of Historians in the 19th – early 20th Centuries: “Events”, “Actors”, “Stories”

2019 ◽  
Keyword(s):  
Life Experience ◽  
Current System ◽  
Professional Community ◽  
Moral Code ◽  
Teacher Student ◽  
University Life ◽  
Life Path ◽  
The Russian Empire ◽  
The Individual ◽  
The University

The paper provides an analysis of the 19th – early 20th centuries autobiographies by I. Snehyrov, N. Ustrialov, S. Soloviov, K. Bestuzhev-Riumyn, M. Maksymovych, N. Kostomarov, V. Antonovych, M. Drahomanov, V. Semevskyi, etc. Such concepts as «life events», «actors», «stories» act as key notions of the research. This research focuses on the «event» saturation at various stages and different spheres of the university life of memoirists, as well as the peculiarities of interpretation and presentation of the corresponding «events». Particular attention is paid to the analysis of «stories», which are a complete narration and give some «events» the status of «key» or «turning». In addition, the paper analyzes the circle of communication of memoirists (so-called «significant others»), which allows to talk about the relationships in the system «teacher – student», «client – patron», etc. Understanding autobiographical texts as cultural and intellectual constructs influenced by a lot of factors (cultural and historiographic tradition, life experience of a memoirist, etc.), makes it possible to understand more deeply not only the individual «life path» of the university historian, but also the phenomenon of the university as a whole. In particular, the appearance in the autobiographies of historians of the younger generation of reflections on their current system of education, attempts to understand the moral code of «university person», the emphasis on the recognition of their scientific achievements by their colleagues. This is what indicates the beginning of the formation process of a professional community and awareness of the university values.

scholarly journals Validation of the Kuroshio Current System in the dual-domain Pacific Ocean Model framework

2012 ◽  
Vol 105 ◽  
pp. 102-124 ◽  
Author(s):  
Yu-Heng Tseng ◽  
Mao-Lin Shen ◽  
Sen Jan ◽  
David E. Dietrich ◽  
Chia-Ping Chiang
Keyword(s):  
Pacific Ocean ◽  
Current System ◽  
Kuroshio Current ◽  
Ocean Model ◽  
Model Framework ◽  
Dual Domain ◽  
The Kuroshio

Effective Communication with Hand Gesture Recognition Using Voice Over and Crime Detection System for Disabled People

2020 ◽  
Vol 17 (11) ◽  
pp. 4934-4937
Author(s):  
Anitha Ponraj ◽  
Derangula Ajay Babu ◽  
Dasari Jagadish ◽  
R. Aroul Canessane ◽  
M. S. Roobini
Keyword(s):  
Gesture Recognition ◽  
Detection System ◽  
Current System ◽  
Criminal Activity ◽  
Effective Communication ◽  
Hand Gesture ◽  
Disabled People ◽  
Huge Number ◽  
Hand Motion ◽  
Crime Detection

The Hand motions are the most well-known types of correspondence and have extraordinary significance in our reality. They can help in building sheltered and agreeable UIs for a large number of uses. In the current system, we have to speak with the Deaf and moronic individuals utilizing Deaf and idiotic language just, there is no programmed device to change over that into sound arrangement. In the Proposed system, Hand motions are the most widely recognized types of correspondence and have incredible significance reality. It is used to build protected and agreeable UIs for huge number of uses. Various types of calculations have utilized on camera for hand motion acknowledgment, yet hearty implementation on motions from different subjects is as yet testing. In the Modification, We convey Hand motion acknowledgment alongside Criminal stance additionally to distinguish and anticipate any criminal activities by any client. So this application is utilized for Deaf and idiotic correspondence and voice over and well criminal activity discovery utilizing matlab.

Speaking (of) Faces

2020 ◽  
pp. 197-223
Author(s):  
Elizabeth D. Harvey
Keyword(s):  
Facial Expression ◽  
Speech Acts ◽  
Human Subjects ◽  
Social Geography ◽  
Individual Subject ◽  
Modern Psychology ◽  
Measure For Measure ◽  
The Face ◽  
Human Desire ◽  
The Individual

Measure for Measure is a play that reveals how bodily and affective language is entangled with anatomical understandings of muscles, gesture, and early modern psychology. The face was the primary map for the passions and the mobility of shifting affects, as well as the body’s primary social façade; its complex ability to register or to contain emotion is embedded in the languages of intersubjective interaction, a social geography of communication. This chapter explores how passionate expression is registered as somatic speech acts through readings of facial expression and in moments of disguise (veiling, muffling, substitution). The play stages how human desire flows between and among people, how it solicits and resists legal and political regulation, and how it operates invisibly both as a felt force for the individual subject and as an uncontainable force moving between human subjects.

SUSTAINABLE DESIGN IN PROJECT DELIVERY: A DISCUSSION ON CURRENT AND FUTURE TRENDS

2016 ◽  
Vol 11 (2) ◽  
pp. 39-56 ◽  
Author(s):  
Karno Widjaja
Keyword(s):  
Construction Projects ◽  
Sustainable Design ◽  
Current System ◽  
Critical Role ◽  
Project Delivery ◽  
Starting Point ◽  
New Construction ◽  
Communication And Coordination ◽  
The Individual ◽  
Sustainability Principles

INTRODUCTION Sustainability principles have become an integral part of the design and construction process for many new construction projects. The selection of the project delivery method (PDM) is extremely important in the effective execution of the project, and plays a critical role in establishing communication and coordination between the key entities: owner, architect, and contractor. The goal of this paper is to hopefully serve as a starting point for further discussion to improve on the AEC industry's current integration of sustainability principles in PDMs. The first step consists of an assessment of current project delivery systems from a sustainable design perspective. This is followed by a determination of the current limitations, and examination of the various disruptions in the industry. Various literature sources are analyzed to form a framework to discuss improvements and optimization strategies beyond the current system. Thereafter, proposed solutions are introduced at both stakeholders, as well as PDM scales. In this paper, the focus for the conducted analysis and proposed methodologies is predicated on new construction projects instead of retrofits due to the resources available. However, the principles can similarly be applied to retrofit scenarios as well, depending on the specific requirements of the individual project at play.

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