model-based gesture recognition
A Deep Learning Approach to Intelligent Gesture Recognition System for Deaf, Dumb and Blind Communication using KNN Algorithm on Tensor Flow Technique
... Relatively few Researches have been done in this specific field, particularly in Binary Sign Language Recognition. Scarcely any looks into have been done on this issue however and some of them are as yet ...
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Flexible Neural Trees for Online Hand Gesture Recognition using Surface Electromyography
... hand gesture recognition methods using surface Electromyography (sEMG) signals require designers to use digital signal processing hardware or ensemble methods as tools to solve real time hand gesture ...
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FEATURE SELECTION USING MODIFIED ANT COLONY OPTIMIZATION APPROACH (FS MACO) BASED FIVE LAYERED ARTIFICIAL NEURAL NETWORK FOR CROSS DOMAIN OPINION MINING
... computing model, which uses several enabling technologies to provide new type of smart services that allow users to interact with daily objects in a different ...consider gesture based user ...
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Survey on Various Gesture Recognition Technologies and Techniques
... handling gesture recognition, vary between mathematical models like Hidden Markov Model (HMM) [6][10] and Finite State Machine (FSM) [6][11] to approaches based on software computing methods ...
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Gesture Recognition System Based on Improved Stacked Hourglass Structure
... body gesture recognition is still a very challenging task due to the huge changes in ...(CNN) model is a supervised machine learning algorithm that learns the hierarchy of features by building ...
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Gesture Recognition Based Video Game Controller
... We use Hue Saturation Value (HSV) color space which is useful in specifying color properties numerically as well as better able to more closely align how human vision is perceived as compared to the RGB model. Hue ...
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Bayesian Co-Boosting for Multi-modal Gesture Recognition
... 20 gesture categories, each of which is an Italian cultural or anthropological ...skeletal model, user mask, and audio ...for model training and testing. Based on the labeled data, we can ...
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A Gesture Recognition Method Integrating RGB and Depth Image Features
... processing gesture images using a convolutional neural network, it is often performed in a single ...method based on spatial self-coding and principal component analysis, and applies the established dual ...
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Gesture Recognition Review: A Survey of Various Gesture Recognition Algorithms
... a gesture can be modelled as an ordered sequence of states in a spatio– temporal configuration space in the FSM ...to model four qualitatively distinct phases of a generic gesture—static start ...
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Image Based Hand Gesture Recognition for Human Computer Interaction
... novel model based on deep learning is proposed to improve the accuracy of EMG-based hand gesture ...in recognition which is the biggest obstacle between application and ...
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An Investigation on Gesture Analysis and Geometric Features Extraction
... any gesture system, the first step is to extract the hand object from the entire image and this can be performed by firstly decided the input device required to collect the data necessary to accomplish a specific ...
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PRINCIPAL COMPONET ANALYSIS BASED HAND GESTURE RECOGNITION
... speaking. Gesture recognition turns up to be important field in the recent ...Hand Gesture Recognition have been widely accepted for numerous applications such as human computer interactions, ...
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Hand & Upper Body Based Hybrid Gesture Recognition
... 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 interpreting hand gestures in real ...
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sEMG-based hand gesture recognition with deep learning
... This is a novel approach since the application of deep learning yields new knowl- edge about the performance of machine learning on this dataset, which was previously analysed only with algorithms belonging to classical ...
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A Neural Network based Real Time Hand Gesture Recognition System
... the recognition of hand gesture using decision tree method based on information ...Hand-Gesture Recognition for HCI developed by Atid Shamaie, Wu Hai and Alistair Sutherland [5] is a ...
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Gesture recognition method based on a single channel sEMG envelope signal
... methods based on time-domain statis- tical features, frequency-domain statistical features, time- frequency domain statistical features, and parametric model ...
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Hand Gesture Recognition Based on Faster-RCNN Deep Learning
... hand gesture sequence, separate them from the complex backgrounds and provide the effective input information source for the following training ...hand gesture analysis, hand postures as well as motion ...
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Boltay Hath for Indian Sign Language Recognition
... a gesture to communicate with a normal person that gestures is named a Boltay ...hand gesture. In this paper, make a gesture without using any types of gloves and is not used any type of marker ...
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The Gesture Recognition Toolkit
... Gesture recognition is a powerful tool for human-computer ...of gesture-based interactions in consumer devices, a diverse range of individuals are gaining access to affordable sensor ...
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Gloves Gesture Recognition
... the gesture based communication, which gives correspondence between individuals discourse debilitation and ordinary individuals, in this way diminishing the correspondence hole between ...
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