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Portable language system visualizer using RF signals and IoT technology

Bascar, Tarani (2021) Portable language system visualizer using RF signals and IoT technology. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Internet of Things (IoT) has made people’s life more convenient and practical where it supports any person to be connected to any things, anywhere, via the Internet. Portable Language System Visualizer Using RF Signals and IoT Technology was mainly to minimize the problems that often happens to the deaf-blind students and for young children’s mainly in the aspect of slow learning and short-term memory loss. Therefore, some immediate actions must be taken in the improvisations of the learning kit for the deaf-blind people. The proposed development is based on the portable language system visualizer of three ways of learning method for T&L purposes. The first method will be whereby a deaf-mute person has to tap on a RFID reader and there will be visualization of alphabets and numbers on the Raspberry Pi LCD screen. The second method is whereby the blind person will be using braille attached keyboard to familiarize braille through keyboards and listen to the alphabet's pronunciation through Text to speech converter. Thirdly, a method to learn any language through retyping the word on the image and by listening on how the word sound. As a result, the project works perfectly based on the google survey done with the deaf-mute children, when the question “Will the students complete the level 1 SL faster by using SL Visualizer?” asked ,there were 100% “YES” answer answered. In a nutshell, the project was successful as the objective to build an interactive and engaging method to learn the Sign Language .was implemented and applied.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Portable language, Visualizer, RF signals, IoT, Raspberry Pi
Divisions: Library > Final Year Project > FTKEE
Depositing User: Mr Eiisaa Ahyead
Date Deposited: 30 May 2024 02:14
Last Modified: 12 Dec 2024 03:27
URI: http://digitalcollection.utem.edu.my/id/eprint/27876

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