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In daily life, we frequently encounter individuals with restricted verbal communication abilities, commonly referred to as having a speech impairment. They utilize hand and finger gestures known as ASL (American Sign Language) to communicate with others, including those with speech difficulties and individuals without such challenges. Nevertheless, numerous ordinary individuals lack comprehension of this mode of communication. In this technological era, the author has developed a smart hand glove translator capable of converting speech-impaired hand motions into comprehensible sounds. The primary elements of this design are the Arduino Uno as the central data processing unit, complemented by a flex sensor and a gyroscope sensor to capture hand movements. Subsequently, employing an LCD and speaker as output devices, along with a micro SD reader to access a pre-existing database, facilitates user interaction in daily activities. The ultimate outcome of this design is an intelligent glove equipped with 50 databases, accessible to users through the selection of required phrases.
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Nurakbar et al. (2026) studied this question.
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