[PDF] Top 20 Application of support vector machine algorithm based gesture recognition technology in human-computer interaction

... Man-human interaction technology realizes the rapid communication between human and machine, which brings huge convenience to people’s ...lives. Gesture is one of the daily ... See full document

... in computer world, have been a popular research field for many ...Hand gesture play important role in the vision community, mainly for the purpose of Human-Computer Interaction ... See full document

... language recognition [5] and many more. Thomas and Jaron[6] developed hand-machine interface device that provides real-time gesture, position and orienta- tion ...hand gesture. In their system ... See full document

... Hand gesture recognition is an improving topic, which has many applications areas in human computer interaction ...and interaction are crucial keywords to attract consumer ... See full document

... an application of sign language recognition via hand gesture ...feature vector is created. This feature vector is taken as input for multiclass artificial neural network ...and ... See full document

... 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 ... See full document

... using computer based algorithms and various coding and decoding techniques, data is processed with the help of programs and we get the desired ...for human-computer interaction in a ... See full document

... every human being in this ...expression. Based on practical experience, it is almost certain that these types of conversations do not proceed easily unless there is a third person who is used as an ...other ... See full document

... hand-gesture recognition network can classify seven types of hand gestures in a user-independent manner and in real time, achieving ...Management Recognition Xiaoliang Zhang, Ziqi Yang, Taiyu Chen, ... See full document

... of computer was so tough and complicated that none but scientists could use ...of computer has become so easy that everyone can use ...man-machine interaction which is based on ... See full document

... ABSTRACT: Computer vision technology and human-computer interaction have helped in designing and implementing many natural forms of human-computer interaction ... See full document

... and machine learning based methods, for all algorithms that utilise extracted features to train a model, it holds that the training data are of critical influence on the performance of the algorithms ...the ... See full document

... to computer interactions date back to the PhD work of Ivan Sutherland [2], who demonstrated Sketchpad, an early form of stroke-based gestures using a light pen to manipulate graphical objects on a tablet ... See full document

... Tested on the BioID database and the GI4E database, our method has obtained the highest accuracy, outperforming 10 other methods and 6 other methods, respectively. Evaluations on a subset of the extended Yale Face ... See full document

... The application recognizes the input object with a help of a RGB ...paint application is as ...the gesture based application is as ... See full document

... expression recognition such as Naïve Bayesian classifier, Neural Networks, Bayesian classifier, K-Nearest Neighbour, Hidden Markov Model (HMM), Linear Discriminant Analysis, Multi-class SVM, K-Means Clustering and ... See full document

... the algorithm is able to assess each frame against predetermined rules for a health ...rule–based algorithm based on displacement from centroid of clusters regarding of weight category, ... See full document

... ing algorithm, due to its demonstrated reliability. A stand- alone human detection algorithm based on Support Vector Machine (SVM) [5] classification of temporal features ... See full document

... The recognition of facial gestures depends on the effectiveness of the feature selected and classification algorithm ...categories based on the type of analysis technique used: time, frequency, ... See full document

... classification algorithm which over fits the training sample and generalizes poorly to new ...an algorithm is too large to be processed and it is suspected to be notoriously redundant then the input data ... See full document