This is an IoT-enabled wearable gesture recognition device which captures hand movements using a accelerometer and recognizes correct alphanumeric characters using an SVM Algorithm.

● Designed a circuit using Arduino Uno R3 controller that reads movement as input when user moves the device in the shape of an alphabet or number in x-y coordinate plane in air ● Developed an object-oriented Python code, a library to store various gesture samples and a dictionary to improve predictive text before displaying on screen with very …

A transformer that decodes swipes across a smartphone keyboard into words (gesture / swipe / glide typing) (enhanced yandex cup solution)

Keyboard demonstration that uses a neural network from neuroswipe project (https://github.com/proshian/neuroswipe) to decode swipes into words