International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Sep. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 91
Paper Published : 1444
No. of Authors : 3905
  Journal Paper

Paper Title
RFID, Multi Tag Mobility Pattern & Android based Full Duplex Communication for Voice Impaired

Abstract
In order to cater the increasing demands of the user, the scope of the RFID tags is growing exponentially. With the expanding growth, the challenges of automated data transmission have also increased considerably. It was at this point of a time the Embedded hardware technology budded up as a rescue. However, there still exists a major issue which has attracted a lot of researchers. The important factor is recognizing of the gestures correctly and reacts according to it. Embedded hardware is designed in such a way that 4 RFID Tags are placed in all the corners. The user will show RFID Reader sequentially, so that the voice is produced. This system will help deaf & dumb people to communicate with the normal people. In this system the normal people can also communicate with the deaf & dumb people using voice input through Android phone. The system is designed with COTS hardware for data collection and well-designed software for data analysis. We utilize a commercial reader and multiple tags to collect data in addition to it. Then, received data packets are sequentially passed onto several functional blocks, namely, data preprocessing, gesture detection, gesture profiles training and gesture recognition. The Embedded hardware with 4 RFID tags are placed at the corners which helps in reading the gestures performed by the user in this paper titled “RFID, MULTI TAG MOBILITY PATTERN & ANDROID BASED FULL DUPLEX COMMUNICATION FOR VOICE IMPAIRED”. Keywords - RFID tags, Embedded hardware, Android application, Gesture recognition.


Author - Deepha S.R, Meera Gandhi

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