The study of gesture is still in its early childhood, gesture is present early in evolution, and is used to communicate before a child has the ability to enunciate. This paper describes the use of fast Fourier transforms both for preprocessing and feature extraction of hand gestures images. First the input gesture images are padded as the padding is necessary before applying Fourier transform t...

Given that advances in technology have increased rapidly over the past few years, developing a vision-based recognition system that could aid in the interaction between the Deaf and the hearing does not sound that far-fetched anymore. We can distinguish between two categories of hand gestures, namely static and dynamic. A static gesture is a particular hand configuration and pose represented by...

This paper introduces an interval fuzzy rule-based method for the recognition of hand gestures acquired from a data glove, with an application to the recognition of hand gestures of the Brazilian Sign Language. To deal with the uncertainties in the data provided by the data glove, an approach based on interval fuzzy logic is used. The method uses the set of angles of finger joints for the class...

This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate. Meanwhile, the corresponding relationship between state sequences in hand gesture and speech models is considered by integrating speech recognition technology with a multimodal model, thu...

The recent trends for house appliance devices are moving towards the natural interaction that ensures free-cumbering interaction with these human-made devices, we have presented herein our novel approach for features extraction template that enables such devices to interact in better way especially when gesturing to vision-based devices such as home TV, these vision-based devices preferred over...

Hand gesture recognition is a new challenge to convey information such as input data or to control devices and applications such as computers, games, PDAs, browsers, cell phones, information appliances and MP3 audio players, etc. Image-based techniques detect a gesture by capturing pictures of a user’s hand signs during the course of a gesture, and to recognize what user would like to do. In th...

considering the deficiency of accurate hand gesture contour inaccessible and inefficiency in complex dynamic background in existing methods of hand gesture tracking, a two dimensional skin color probability forecast method is proposed. Based on this, a hand gesture segmentation method of multi-mode and a hand gesture tracking method of state estimation are extended. When hand gesture is segment...

A genetic algorithm (GA) is an optimization algorithm that simulates the hereditary phenomenon of natural life. Although GA has been applied to image processing, it has not been studied to apply for matching hand gesture images. In this paper, a method to use GA for the matching process of hand gesture images expressing numbers is proposed. The processing algorithm including GA for hand gesture...

The use of human hand as a natural interface for humancomputer interaction (HCI) serves as the motivation for research in hand gesture recognition. Vision-based hand gesture recognition involves visual analysis of hand shape, position and/or movement. In this paper, we use the concept of object-based video abstraction for segmenting the frames into video object planes (VOPs), as used in MPEG-4,...