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Muhamad Y. Dias
Universitas Diponegoro
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560 Agung Budi Prasetijo; Muhamad Y. Dias; Dania Eridani
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1514.154 KB) | DOI: 10.17529/jre.v14i1.9801

Abstract

Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.
Rancang Bangun Alat Penerjemah ASL (American Sign Language) dengan Sensor Flex Berbasis Mikrokontroler ATmega2560 Agung Budi Prasetijo; Muhamad Y. Dias; Dania Eridani
Jurnal Rekayasa Elektrika Vol 14, No 1 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i1.9801

Abstract

Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.
Co-Authors Agung Budi Prasetijo Dania Eridani