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[PDF] Top 20 Human -Computer Interface using Gestures based on Neural Network

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Human -Computer Interface using Gestures based on Neural Network

Human -Computer Interface using Gestures based on Neural Network

... Abstract- Gestures are powerful tools for non-verbal communication. Human computer interface (HCI) is a growing field which reduces the complexity of interaction between human and ... See full document

7

Hand Gesture and Neural Network Based Human Computer  Interface

Hand Gesture and Neural Network Based Human Computer Interface

... Artificial Neural Network & Its Algorithm ANNs are based upon the neural structure of the brain in our ...the network thinks that it has scanned or the particular image it thinks is ... See full document

7

Vehicle Tracking using Convolutional Neural Network

Vehicle Tracking using Convolutional Neural Network

... in computer vision is object ...those based on color [1] or motion blobs [2]–[4], perform tracking by maintaining a simple model of the target and adapting such a model over ... See full document

4

An Integrated Intelligent Neuro-Fuzzy Algorithm for Long-Term Electricity Consumption: Cases of Selected EU Countries

An Integrated Intelligent Neuro-Fuzzy Algorithm for Long-Term Electricity Consumption: Cases of Selected EU Countries

... a neural network, a time series and ANOVA ...artificial neural network and genetic algorithm framework to predict electrical energy consumption ...approach based on genetic ... See full document

20

Visual Interpretation Of Hand Gestures For Human Computer  Interaction

Visual Interpretation Of Hand Gestures For Human Computer Interaction

... hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction ...hand gestures can help in achieving the ease and naturalness desired ... See full document

3

Improving elderly access to audiovisual and social media, using a multimodal human-computer interface

Improving elderly access to audiovisual and social media, using a multimodal human-computer interface

... Although most participants completed the task successfully, some committed some errors while writing the message, as shown in Table 3.14. All of them tried the speech interaction modality, but only a few were successful ... See full document

153

Computational analysis of HIV-1 resistance based on gene expression profiles and the virus-host interaction network.

Computational analysis of HIV-1 resistance based on gene expression profiles and the virus-host interaction network.

... was on 19,859 of the shortest paths, which suggests that it is important for HIV ...gene on the list of 29 genes, IL2, is a secreted cytokine that regulates CD4+ T cell production and survival ...gene ... See full document

6

Efficient Brain Tumor Detection Using Wavelet Transform

Efficient Brain Tumor Detection Using Wavelet Transform

... In image segmentation the level to which the subdivision of an image into its constituent regions or objects is carried depends on the problem being solved. In other words, when the object of focus is separated, ... See full document

6

SOIL INFILTRATION BASED ON BP NEURAL NETWORK AND GREY RELATIONAL ANALYSIS

SOIL INFILTRATION BASED ON BP NEURAL NETWORK AND GREY RELATIONAL ANALYSIS

... A infiltração da água no solo é um processo fundamental do ciclo natural de água. Estudos sobre a permeabilidade do solo contribuem para avaliar e estimar os recursos hídricos, a regulação e gestão de escoamento, a ... See full document

9

Designing wearable interfaces for blind people

Designing wearable interfaces for blind people

... estudo integra as melhores soluc¸˜oes apresentadas num ´unico dispositivo. O nosso objec- tivo principal ´e tornar os dispositivos de telem´oveis mais acess´ıveis a pessoas invisuais, de forma serem integrados no seu ... See full document

83

A P2P Botnet Virus Detection System Based on Data-Mining Algorithms

A P2P Botnet Virus Detection System Based on Data-Mining Algorithms

... executed on each computer, and eight computers were infected intentionally with one to three botnet viruses ...flows on each computer, hoping to simulate a real network ...each ... See full document

15

Prediction of 3D ground reaction forces during gait based on accelerometer data

Prediction of 3D ground reaction forces during gait based on accelerometer data

... Principal Component (PC) analysis was applied to three independent matrices D, each one corresponding to a different GRF component (Jolliffe, 2002). Initially, the mean was subtracted, the covariance matrix S [51 x 51] ... See full document

6

Using Neural Network for DJIA Stock Selection

Using Neural Network for DJIA Stock Selection

... Soft computing is useful for solving problems which are described by multiple variables and multiple parameters. These problems may have non-linear coupling among these variables and parameters which are extremely ... See full document

8

Developing a Neural Network based Index for Sentiment Classification

Developing a Neural Network based Index for Sentiment Classification

... rely on external structured information sources ...a Neural Network (NN) based index which combines the advantages of machine learning techniques and semantic orientation indexes to ... See full document

6

Perceptron system to assist in decision making and monitoring of quality of software development in Information Technology environments

Perceptron system to assist in decision making and monitoring of quality of software development in Information Technology environments

... done on presentation of a set of pairs of inputs and outputs ...the network and an output is ...the network a known ...a neural network consists of the application of ordered steps that ... See full document

13

An Adaptive Two-Stage BPNN–DCT Image Compression Technique

An Adaptive Two-Stage BPNN–DCT Image Compression Technique

... Artificial Neural Networks. In this paper Back-propagation neural network is designed and trained using different learning ...the network via the input layer. Each neuron in the ... See full document

4

AUTOMATED EDGE DETECTION USING CONVOLUTIONAL NEURAL NETWORK

AUTOMATED EDGE DETECTION USING CONVOLUTIONAL NEURAL NETWORK

... Convolutional Neural Networks (Convolutiobal Neural Network) are variants of MLPs which are inspired from ...work on the cat’s visual cortex , we know there exists a complex arrangement of ... See full document

7

Research on Spatial Estimation of Soil Property Based on Improved RBF Neural Network

Research on Spatial Estimation of Soil Property Based on Improved RBF Neural Network

... In the end, the parameters of the number of nodes at the hidden layer, expansion speed and root-mean-square error gained through genetic algorithm optimization are input into RBF Neural Network. ... See full document

8

Data mining based damage identification using imperialist competi- tive algorithm and artificial neural network

Data mining based damage identification using imperialist competi- tive algorithm and artificial neural network

... the network, types of data, number of neurons in each layer, forms of activations, the weights and parameter settings of the ...feed-forward network with different topologies was assessed in order to obtain ... See full document

14

Improving the Performance of Dynamic Source Routing Protocol by Optimization of Neural Networks

Improving the Performance of Dynamic Source Routing Protocol by Optimization of Neural Networks

... Dr Yogesh Chaba received the B.E. degree in Computer Sc. & Engg with DISTINCTION from Marathwada University, Aurangabad in year 1993. He obtained his MS degree in Software Systems from BITS Pilani and PhD ... See full document

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