[PDF] Top 20 SLIC based Hand Gesture Recognition with Artificial Neural Network
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SLIC based Hand Gesture Recognition with Artificial Neural Network
... The gesture technology permits the users to control or manipulate devices in a more inherent manner, such as TV, Microwave, and AC remote operates with hand ...movements. Gesture has the diversity in ... See full document
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Hand Gesture Recognition Based Calculator
... is based on Statistics uses practicable relationship between the visible features procured of previous information to tackle vested uncertainty problem in processing of video, not only capable of creating the ... 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 artificial ... See full document
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A Neural Network Approach in Performing Non-Invasive Analysis of Muscle Impulses for Hand Gesture Recognition
... of hand gestures with gaze, speech and other naturally related modes of communication in multimodal interfaces, for raising the limitations discovered toward gestural human computer ...vision based ... See full document
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Digital Pen for Handwritten Digit and Gesture Recognition Using Trajectory Recognition Algorithm Based On Triaxial Accelerometer-A Review
... PNN is a probabilistic neural network used as a classifier for handwritten digit and hand gesture recognition. The PNN is guaranteed to converge to a Bayesian classifier, and thus, it ... See full document
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Hand & Upper Body Based Hybrid Gesture Recognition
... on hand gesture that used orientation histogram as a feature vector in neural network for recognizing static hand gesture of American Sign ...vision based system for ... See full document
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A Framework on Hand Gesture Recognition Using Fuzzy-Logic with Backpropagation Neural Network Algorithm
... of hand gesture sequence recognition through a multi-feature criteria based on a predefined area in two dimensional space, the presence of skin color, and non-motion for a defined period of ... 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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Sign Language Recognition using Hybrid Neural Networks
... the hand tracker which includes 3D hand alignment with number of degree-of-freedoms (DOFs) from 2D image sequence with a color coded ...gestures based on geometrical ... See full document
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Hand Motion Tracking for Alphabet Recognition using ANN
... from hand motion trajectory. This method uses Artificial Neural Network (ANN) for alphabet recognition from gesture path (motion ...users hand is detected using color ... See full document
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A Vision based Hand Gesture Recognition System using Convolutional Neural Networks
... paper, hand gesture recognition is explained and implemented, to enable further development of natural communication between humans and ...accurate hand gesture ... See full document
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Hand Shape Based Gesture Recognition in Hardware
... human hand has remained a popular choice for ex- pressing simple ideas and ...actions. Hand gesture recognition is therefore a popular subject in the computer vision and pattern ... 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 ...Three gesture recognition techniques, namely the Geometric Template Matching, Artificial Neural Networks ... See full document
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Hand Gesture Recognition Based on Faster-RCNN Deep Learning
... of hand segmentation is to detect the hand regions from the hand gesture sequence, separate them from the complex backgrounds and provide the effective input information source for the ... See full document
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ARTIFICIAL NEURAL NETWORK APPROACH FOR HAND GESTURE RECOGNITION
... for hand gesture recognition using visual analysis have been proposed for hand gesture ...the hand gesture recognition using depth data [2]. For hand ... See full document
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Hand Gesture Based Character Recognition using Neural Network
... utilizing gesture-based communications, however they think that its hard to open themselves to the outside ...visual based strategy for Communication amongst hard of hearing and unable to speak ... See full document
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HAND GESTURE RECOGNITION USING NEURAL NETWORK
... processing hand gesture recognition system having great attention in the recent few years for general life ...applications. Hand gesture recognition is a growing field of ... See full document
5
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 ...this network we use 5 samples for each type of hand ...the network 33 element ... See full document
6
Hand Gesture Recognition Using Neural Network
... alternative gesture recognition methods have been developed by which a variety of commands can be used ...to hand gesture ...life. Gesture recognition can be termed as an ... See full document
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Real Time Hand Gesture Recognition With A Novel Distance Measure Gpd For Iot Based Controlled Assistance System
... IoT based medicinal service applications lay emphasis on the connection of all accessible resources in the society to perform healthcare events, for example, diagnosing, observing, remote help or medical ... See full document
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