Gesture Vocalizer
Microcontroller and Sensors Based Gesture Vocalizer
Abstract: - Gesture Vocalizer is a large scale multi-microcontroller based system being designed to facilitate the Communication among the dumb, deaf and blind communities and their communication with the normal people. This system can be dynamically reconfigured to work as a “smart device”. In this paper, microcontroller and sensors based gesture vocalizer is presented. Gesture vocalizer discussed is basically a data glove and a microcontroller based system. Data glove can detect almost all the movements of a hand and microcontroller based system converts some specified movements into human recognizable voice. The data glove is equipped with two types of sensors: The bend sensors and accelerometers as tilt sensors. This system is beneficial for dumb people and their hands will speak having worn the gesture vocalizer data glove.
1 Introduction
“Speech” and “gestures” are the expressions, which are mostly used in communication between human beings. Learning of their use begins with the first years of life. Research is in progress that aims to integrate gesture as an expression in Human- Computer Interaction (HCI). In human communication, the use of speech and gestures is completely coordinated. Machine gesture and sign language recognition is about recognition of gestures and sign language using computers. A number of hardware techniques are used for gathering information about body positioning; typically either image-based (using cameras, moving lights etc) or device-based (using instrumented gloves, position trackers etc.).
However, getting the data is only the first step.The second step, that of recognizing the sign or gesture once it has been captured is much more challenging, especially in a continuous stream. Infact currently, this is the focus of the research. This research paper analyses the data from an instrumented data glove for use in recognition of some signs and gestures. A system is developed
Abstract: - Gesture Vocalizer is a large scale multi-microcontroller based system being designed to facilitate the Communication among the dumb, deaf and blind communities and their communication with the normal people. This system can be dynamically reconfigured to work as a “smart device”. In this paper, microcontroller and sensors based gesture vocalizer is presented. Gesture vocalizer discussed is basically a data glove and a microcontroller based system. Data glove can detect almost all the movements of a hand and microcontroller based system converts some specified movements into human recognizable voice. The data glove is equipped with two types of sensors: The bend sensors and accelerometers as tilt sensors. This system is beneficial for dumb people and their hands will speak having worn the gesture vocalizer data glove.
1 Introduction
“Speech” and “gestures” are the expressions, which are mostly used in communication between human beings. Learning of their use begins with the first years of life. Research is in progress that aims to integrate gesture as an expression in Human- Computer Interaction (HCI). In human communication, the use of speech and gestures is completely coordinated. Machine gesture and sign language recognition is about recognition of gestures and sign language using computers. A number of hardware techniques are used for gathering information about body positioning; typically either image-based (using cameras, moving lights etc) or device-based (using instrumented gloves, position trackers etc.).
However, getting the data is only the first step.The second step, that of recognizing the sign or gesture once it has been captured is much more challenging, especially in a continuous stream. Infact currently, this is the focus of the research. This research paper analyses the data from an instrumented data glove for use in recognition of some signs and gestures. A system is developed