AHFE Open AccessCOMM-G: A Communication Glove for Smart Communication
Abstract
This paper proposes a smart communication process using google assistant for sign language identification with the help of the components majorly comprising of flex sensors, MPU6050 sensors, and microcontrollers. The basic idea evolved overtime to make the process simpler and more efficient. The conversion from gesture to speech is carried in two sub-processes, firstly gesture is converted into text with the help of flex sensors and the text is converted into speech with the help of default functionality of google assistant. The test results are prudently evaluated with the respective output of the sensors. This proposed idea can assist people with impaired learning and people working in industries.
Keywords: Smart Sensors, Wearable Technology, Gesture-To-Speech, Artificial Intelligence, Flex Sensors
DOI: 10.54941/ahfe100906
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