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Reconhecimento das Emoções Faciais usando Convolutional Neural Network

Reconhecimento das Emoções Faciais usando Convolutional Neural Network

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Edicoes Nosso Conhecimento
2023
pokkari
Este livro resume o reconhecimento da express o facial e identifica a emo o a partir de uma imagem facial, uma manifesta o da actividade e da personalidade de um humano. No s culo XX, o psic logo americano Ekman e Friesen definiu seis emo es b sicas (raiva, medo, repugn ncia, tristeza, surpresa e felicidade), que s o as mesmas entre culturas. O reconhecimento da express o facial trouxe muita aten o nos ltimos anos devido ao seu impacto na pr tica cl nica, rob tica social, e educa o. Segundo diversas investiga es, a emo o desempenha um papel importante na educa o. apresent mos um modelo Convolutional Neural Network para o reconhecimento da express o facial dos estudantes .O modelo proposto inclui 4 camadas convolutivas, 4 camadas max-pooling, e 2 camadas totalmente conectadas. O sistema reconhece rostos a partir de imagens de entrada dos estudantes usando um detector do tipo Haar e classifica-os em sete express es faciais: surpresa, medo, repugn ncia, tristeza, alegria, raiva, e neutralidade.
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Erkennung von Gesichtsemotionen mit Hilfe eines neuronalen Faltungsnetzwerks

Erkennung von Gesichtsemotionen mit Hilfe eines neuronalen Faltungsnetzwerks

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Verlag Unser Wissen
2023
pokkari
Dieses Buch fasst die Erkennung von Gesichtsausdr cken und die Identifizierung von Emotionen anhand eines Gesichtsbildes zusammen, das Ausdruck der Aktivit t und Pers nlichkeit eines Menschen ist. Im 20. Jahrhundert definierten die amerikanischen Psychologen Ekman und Friesen sechs grundlegende Emotionen (Wut, Angst, Ekel, Traurigkeit, berraschung und Gl ck), die in allen Kulturen gleich sind. Die Erkennung von Gesichtsausdr cken hat in den letzten Jahren aufgrund ihrer Auswirkungen auf die klinische Praxis, die Sozialrobotik und die Bildung viel Aufmerksamkeit auf sich gezogen . Verschiedenen Forschungsergebnissen zufolge spielen Emotionen eine wichtige Rolle in der Bildung. Wir haben ein Modell f r ein neuronales Faltungsnetzwerk zur Erkennung von Gesichtsausdr cken bei Sch lern vorgestellt . Das vorgeschlagene Modell umfasst 4 Faltungsschichten, 4 Max-Pooling-Schichten und 2 vollst ndig verbundene Schichten. Das System erkennt Gesichter aus den Eingabebildern der Sch ler mithilfe eines Haar- hnlichen Detektors und klassifiziert sie in sieben Gesichtsausdr cke: berraschung, Angst, Ekel, Traurigkeit, Freude, rger und Neutralit t.
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Reconnaissance des émotions faciales à l'aide d'un réseau neuronal convolutif

Reconnaissance des émotions faciales à l'aide d'un réseau neuronal convolutif

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Editions Notre Savoir
2023
pokkari
Ce livre r sume la reconnaissance des expressions faciales et l'identification des motions partir d'une image de visage, c'est une manifestation de l'activit et de la personnalit d'un tre humain. Au 20e si cle, les psychologues am ricains Ekman et Friesen ont d fini six motions de base (col re, peur, d go t, tristesse, surprise et bonheur), qui sont les m mes dans toutes les cultures. La reconnaissance des expressions faciales a suscit beaucoup d'int r t ces derni res ann es en raison de son impact sur la pratique clinique, la robotique sociale et l' ducation. Selon diverses recherches, les motions jouent un r le important dans l' ducation. Nous avons pr sent un mod le de r seau neuronal convolutif pour la reconnaissance des expressions faciales des tudiants .Le mod le propos comprend 4 couches convolutives, 4 couches de mise en commun maximale et 2 couches enti rement connect es. Le syst me reconna t les visages partir des images d'entr e des l ves l'aide d'un d tecteur de type Haar et les classe en sept expressions faciales: surprise, peur, d go t, tristesse, joie, col re et neutralit .
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Riconoscimento delle emozioni facciali mediante rete neurale convoluzionale

Riconoscimento delle emozioni facciali mediante rete neurale convoluzionale

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Edizioni Sapienza
2023
pokkari
Questo libro riassume il riconoscimento delle espressioni facciali e identifica l'emozione da un'immagine del volto, che una manifestazione dell'attivit e della personalit di un essere umano. Nel XX secolo, gli psicologi americani Ekman e Friesen hanno definito sei emozioni di base (rabbia, paura, disgusto, tristezza, sorpresa e felicit ), che sono le stesse in tutte le culture. Il riconoscimento delle espressioni facciali ha suscitato grande attenzione negli ultimi anni per il suo impatto sulla pratica clinica, sulla robotica sociale e sull'istruzione. Abbiamo presentato un modello di rete neurale convoluzionale per il riconoscimento delle espressioni facciali degli studenti . Il modello proposto comprende 4 strati convoluzionali, 4 strati di max-pooling e 2 strati completamente connessi. Ilsistema riconosce i volti dalle immagini di input degli studenti utilizzando un rilevatore Haar-like e li classifica in sette espressioni facciali: sorpresa, paura, disgusto, tristezza, felicit , rabbia e neutro.
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Facial Emotions Recognition using Convolutional Neural Network

Facial Emotions Recognition using Convolutional Neural Network

Dr M Aravind Kumar; M Chilakaiah; N L Tejaswini

Lap Lambert Academic Publishing
2023
pokkari
This book summarizes Facial expression recognition and identifies emotion from a face image, it is a manifestation of the activity and personality of a human. In the 20th century, the American psychologist Ekman and Friesen defined six basic emotions (anger, fear, disgust, sadness, surprise, and happiness), which are the same across cultures. Facial expression recognition has brought much attention in the past years due to its impact on clinical practice, social robotics, and education. According to diverse research, emotion plays an important role in education. we presented a Convolutional Neural Network model for students' facial expression recognition. The proposed model includes 4 convolutional layers, 4 max-pooling, and 2 fully connected layers. The system recognizes faces from students' input images using a Haar-like detector and classifies them into seven facial expressions: surprise, fear, disgust, sad, happy, anger, and neutral.
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Smart Control of Traffic Light Using Deep Learning

Smart Control of Traffic Light Using Deep Learning

Dr M Aravind Kumar; P Sheela

Lap Lambert Academic Publishing
2023
pokkari
This book summarizes that with the increasing number of vehicles in urban areas, many road networks are facing problems with the capacity drop of roads and the corresponding Level of Service. Many traffic-related issues occur because of traffic control systems at intersections that use fixed signal timers. In conclusion, the proposed system sets the green signal time adaptively according to the traffic density at the signal and ensures that the direction with more traffic is allotted a green signal for a longer duration of time as compared to the direction with lesser traffic. This will lower unwanted delays and reduce congestion and waiting time, which in turn will reduce fuel consumption and pollution.
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Firefighting and Agriculture Seed Spreading Drone

Firefighting and Agriculture Seed Spreading Drone

Dr M Aravind Kumar

Lap Lambert Academic Publishing
2023
pokkari
This book summarizes as an unmanned Aerial Vehicle (UAV) is a type of aircraft that has no pilot or passenger on board. UAVs include autonomously controlled (drones), and piloted vehicles (RPVs) controlled via a radio transmitter. Multirotor UAVs (unmanned aerial vehicles), namely quadcopters and hexacopters, have become increasingly popular in recent years. This book provides Over time, an increased understanding of the many factors that contribute to the risk of fire and has led to positive developments in the fire protection of commercial structures. Improvements in public fire protection systems and services, as well as increased use of private active or passive systems through fire protection and loss-control engineering, have meant an overall decrease in the cost of fire. The main focus of this system is its Automatic way of sowing the seeds. The seeds are been sowed in a proper sequence which results in the proper germination of seeds.
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Analytical Techniques and Instrumental Methods in Soil, Plant and Water Analysis

Analytical Techniques and Instrumental Methods in Soil, Plant and Water Analysis

Deo Kumar; Arbind Kumar Gupta; Atik Ahamad

New India Publishing Agency
2022
sidottu
The present textbook comprises a detailed account of exercises related to the analytical determination of physical, physico-chemical, and chemical properties of soils. Furthermore, the text provides readers with the necessary glassware, step-by-step procedures, and observations to be recorded for the evaluation of results. The book also includes a chapter on laboratory precautions and emergency first aid treatment, which is intended to promote safe and systematic laboratory work and minimize the risk of accidents. The book is intended for students, researchers, teachers, and laboratory personnel who require a straightforward understanding of the procedures for chemical analysis of soil, water, and plant samples. Additionally, the text provides readers with essential information on atomic weights of elements, important conversion factors, standard solution preparation procedures, and optimal ranges of macro- and micronutrient elements in plants in the form of an appendix. The overall purpose of the book is to provide a comprehensive and user-friendly guide to soil, plant tissue, and water analysis laboratories.
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Agricultural Competitive Examinations

Agricultural Competitive Examinations

Pankaj Kumar Ojha; Nidhika Thakur; Vishal Chugh; Arbind Kumar Gupta

New India Publishing Agency
2023
nidottu
Agricultural Competitive Examinations: Comprehensive Question Bank has been specifically designed to cater to the needs of B.Sc. agriculture and allied discipline students, strictly adhering to the syllabus prescribed by the fifth Deans Committee of the Indian Council of Agricultural Research (ICAR), New Delhi. It is expected that the book will be beneficial to the aspirants of various competitive exams, including JRF and SRF. To ensure clarity and easy comprehension, the authors have provided basic concepts before each question bank section, and have simplified the explanations.The book includes an answer key for the multiple-choice questions at the end of each chapter, allowing students to evaluate themselves. Additionally, some previous questions from reputable agriculture-related entrance examinations have been included to improve students performance in competitive exams.
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Signal Processing Simulation using MATLAB

Signal Processing Simulation using MATLAB

Bhushan Kundeti; M Aravind Kumar; Srinivas Bachu

LAP Lambert Academic Publishing
2020
pokkari
This book provides a self-paced tutorial with step-by-step procedure for learning "Signal Processing Simulation using MATLAB". This book will be helpful for beginners as well as those who are studying B.Tech ECE/EEE and also students from other branches.Each and every chapter explains the concept and it includes programs with result analysis. Students and beginners are advised to go through those programs, create similar programs and solve them. This book uses plain, lucid language with comment lines to explain fundamentals of this subject. All the chapters in the book are arranged in a proper sequence that permits each topic to build upon further. I sincerely hope that this book will be able to meet your requirements. Your feedback and comments are always welcome for further improvement of quality of this design manual.
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