Journal of Electrical Engineering and Automation
IRO Journals
Volume 2 — Issue 4 — December 2020

Design of Effective Smart Communication System for Impaired People

https://doi.org/10.36548/jeea.2020.4.006
Akey Sungheetha
Data Science SIG member, Image Processing SIG member, Computer Science and Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University, Adama, Nazret, Ethiopia
Rajesh Sharma R
Image Processing SIG member, Computer Science and Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University, Adama, Nazret, Ethiopia
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How to Cite

Sungheetha, Akey, and Rajesh Sharma R. 2021. “Design of Effective Smart Communication System for Impaired People”. Journal of Electrical Engineering and Automation 2 (4): 181-94. https://doi.org/10.36548/jeea.2020.4.006.
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Keywords

— Gesture recognition system
— Flex sensor
— Gesture language
Published: 08-03-2021

Abstract

In communication medium, sharing a conversation dialogue between the normal person and deaf and dumb person is one of the challenging tasks still. The dumb person can practice hand gesture language in their community but not to others. This research article focuses to minimize the difficulty level between these two communities with smart glove devices. Besides, the author believes that result of the proposed model provides a good impact on the dump community. The smart glove contains input, control, and output module to get, process, and display the data respectively. Our proposed model is used to help these communities to interact with each other continuously without any error. The proposed model is constructed with good specification flex sensors. Little change of resistance in flex sensor is providing changes in their gesture language. So this orientation direction is calculated well and gives better results over existing methods. The wireless set can be made with Bluetooth technologies here. Here the gestures are assigned based on the alphabet letter. The sign language performs and gives audible output in the display section of the proposed model. It gives good results in our experimental setup. This research work focuses on good recognition rate, accuracy, and efficiency. The good recognition rate shows the continuous conversation between the two persons. Moreover, this research article compares the recognition rate, accuracy, and efficiency of the proposed model with an existing model.

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