Data Glove Technique based Gesture Recognition System
Ammu Anna Mathew1, Anoop J R2, S. Vivekanandan3

1Ammu Anna Mathew, Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India.
2Anoop J R, M-TECH in Electrical Machines, APJ Abdul Kalam Technological University, Vellore, India.
3Dr. S. Vivekanandan*, Associate Professor, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on May 01, 2020. | Manuscript published on May 10, 2020. | PP: 516-519 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5140059720/2020©BEIESP | DOI: 10.35940/ijitee.G5140.059720
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Abstract: Communication is one of the important bonds in relationships, but for deaf, dumb and paralyzed persons this is very difficult and thus they communicate by gestures. It is a mode of communication between persons and for each gesture there is a meaning. Here the gestures are converted to a meaningful sentence or word and it is given as an output through external speakers with the help of using a microcontroller. Simply a gesture recognition or identification system using a microcontroller named ATMEGA with the help of a data glove is being used. An auxiliary communication tool by the help of a data glove is aimed for speech and hearing impaired people so that there is an effective communication between them and the others. The data sent from flex sensor and 3-axis accelerometer (ADXL330) is an analog voltage, which is further converted to digital signal using a microcontroller Atmega16 (Port A). The results identified by the controller are displayed on Android phones using the working application (.apk) which can be downloaded from play store. Thus enhanced effective communication between differently abled and normal person under any circumstances can be established. This concept provides an ease of operation for controlling appliances in a household for immobile persons. This device can be proved as a boon for partially disabled people to raise the quality of their life and become self-sufficient in the society. 
Keywords: ATMEGA, Data Glove, Gesture, Flex Sensor, Immobile, Speech, Zig bee.
Scope of the Article: Pattern Recognition and Analysis