[PDF] Top 20 Hand Gesture Recognition System using Convolutional Neural Networks
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Hand Gesture Recognition System using Convolutional Neural Networks
... proposed system has a total of 27456 entries and 748 ...of using the dataset as a Comma-separated values CSV or to generate the images from the pixel’s values and then use them to train our ...with ... See full document
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A Vision based Hand Gesture Recognition System using Convolutional Neural Networks
... Traditionally, users needed to tie themselves up with the help of electronic wires in order to connect or interface with the computer system. In the previously used wired technology, a user was unable to freely ... See full document
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Hand Gesture Detection and Prediction System Aided by Neural Networks
... Gesture recognition is a domain in computer science and language technology with the goal of interpreting human gestures via image processing ...or hand. Current focuses in the field include emotion ... See full document
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Hand Gesture Based Character Recognition using Neural Network
... [8], as of late, the change of human-PC collaboration (HCI) procedures is fast and the run of the mill application is the signal communication innovation. This paper proposes a supportive and lively unique signal ... See full document
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Hand Gesture Recognition Using Operating System
... through hand, head, facial expressions, voice and ...i.e. hand gestures to control the robot or for offices and household ...applications. Hand gesture detection algorithms are based on ... See full document
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Gesture Recognition Using LFMCW Radar and Convolutional Neural Network
... A gesture recognition procedure based on LFMCW radar and 3D-CNN is ...radar gesture R-D map sequence by 32×120×12 is ...3D-CNN neural network and using the collected data sets for ... See full document
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Autonomous Quadrotor Control using Convolutional Neural Networks
... for gesture recognition ...operator’s gesture according to the training; the classification result will pass to the code of program which decides consequently the behavior commands need to be sent to ... See full document
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Spatial temporal graph convolutional networks for skeleton-based dynamic hand gesture recognition
... Hand gesture recognition plays a key role in human- computer interaction and is attracting increasing interests for its potential applications in various ...recognizing hand gesture can ... See full document
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Hand gesture recognition using gradient orientation
... The present investigation is carried out by using MATLAB. MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows us to solve many technical ... See full document
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HAND POSES DETECTION USING COVOLUTIONAL NEURAL NETWORK
... the recognition level by increasing the sample ...from recognition of pose of a human or the gestures he/she performs , such as recognition of sign language , gaming, medical applications involving ... See full document
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Handwritten Digit Recognition using Convolutional Neural Networks
... Here we define our list of libraries we need to install for keras library to work for our networks. The most important library is the NUMPY is a library that provides support for large, multi-dimensional arrays ... See full document
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A Sign Language to Text Converter Using Leap Motion
... tracking hand motions or gestures without the need of wearing any gloves or ...by using a Leap Motion controller. Three gesture recognition techniques, namely the Geometric Template Matching, ... See full document
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Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
... Vision, gesture based recognition systems have always been an interesting and diverse ...language recognition but achieving high accuracy is still a challenging ...static gesture ... See full document
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PATTERN MATCHING ALGORITHM FOR ASL SIGN GESTURE RECOGNITION USING NEURAL NETWORK
... Pattern recognition system is used to recognize hand gesture for ASL signs, because it is fast and simple ...Pattern recognition is the assignment of some sort of output value to a ... See full document
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Recognition of Arabic Sign Language (ArSL) Using Recurrent Neural Networks
... of neural networks in human hand gesture recog- nition for static images as well as for dynamic ...of neural networks to assist in Arabic Sign Language (ArSL) hand ... See full document
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A Neural Network based Real Time Hand Gesture Recognition System
... real-time hand gesture recognition system we use MATLAB that is a high performance language for ...the recognition method with 4 gesture ...the recognition efficiency of ... See full document
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HAND GESTURE RECOGNITION USING NEURAL NETWORK
... machine.HCI system isdesigned with the consideration of it’s functionality and usability ...while system usability defined as the level and scope that the system canoperate and perform specific user ... See full document
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Hand Gesture Recognition System Using Kohonen Self Organizing Map
... static gesture is a particular hand posture determined by a particular finger thumb-palm configuration and represented by a single ...dynamic gesture is a moving gesture, represented by a ... See full document
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Hand Gesture Recognition Based on Faster-RCNN Deep Learning
... convolution neural network (Faster-RCNN) depth learning algorithm is proposed to apply for gesture recognition in this ...characters hand gesture under three different complex ... See full document
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OBJECT RECOGNITION AND SHAPE MATCHING USING NEURAL NETWORKS - A REVIEW
... Object recognition and shape matching is evaluated by the image processing and pattern recognition ...Object recognition is the challenging problem in the real world ...of neural ... See full document
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