Implementing Sign Language Recognition System using Flex Sensors

Nwachukwu M. M, Eze C. E, Nnorom O. D, Nwebonyi H. A and Ezeagwu C. O
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Nwachukwu M. M: Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Eze C. E: Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Nnorom O. D: Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Nwebonyi H. A: Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Ezeagwu C. O: Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.

International Journal of Research and Innovation in Applied Science, 2024, vol. 9, issue 9, 73-79

Abstract: Sign languages rely on a combination of handshapes, facial expressions, and body movements to convey meaning. They are usually learnt at a tender age as one’s first language. This paper is aimed at designing, implementing, and developing a sensor-based smart glove system for the recognition of sign language. The system includes a wearable glove embedded with flex sensors for detecting hand movement and gestures used in sign language. This information from the sensors is fed into a microcontroller running an algorithm that identifies the signs and modulates them into speech. The system was aimed to provide an inexpensive and effective solution for the deaf/dumb community to communicate with others through sign language. Thirty-one phrases have been successfully obtained in the implemented system. The evaluation regarding the performance of the system was conducted by conducting user studies and tests, and results were presented to show the effectiveness of the proposed solution.

Date: 2024
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