On this branch are codes for debugging, testing, and finally building the dataset of our final year project E-SHARA using a Raspberry Pi, 5 flex sensors, 3 FSR sensors and 1 MPU6050 on one glove, and the same sensors on another glove but with an ESP32 instead of a RaspberryPi
forked from Georgio-Khoury/E-SHARA
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Electronic Sign-Language Hand Augmented Recognition Assistant designed to bridge communication gaps for the deaf community
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