Case Study

Motion gesture detection

Motion gesture detection

Motion gesture detection Smartphone motion gesture detection using Convolutional Neural Network and TensorFlow library. The challenge We aimed to design a neural network scheme that is capable of recognizing desired gestures, like quick motions to the left and right. In order to do that, we had to pass through all steps of implementing motion gesture recognition on an Android application using the TensorFlow library. This included capturing and preprocessing training data, designing and training a neural network, and developing a test application and ready-to-use Android library. Delivered value We got the library that can be integrated into any other Android application to boost it with motion gestures. The process The idea appeared when our engineer had accomplished the first part of

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