GESTICULATION BASED MEDIA PLAYER CONTROLLER USING DEEP LEARNING

In early, the world goes with interaction with complex systems that ensure a response. Gesticulation recognition systems receives attention in past and previous years because of their ability to interact with human and computer. Between the human and systems communication creates a complicated understanding about the signals. Our aim of this paper proposed the easy way to perform fast efficient of media player using gesticulation .In this concept without hardware we can control the media using the movement of hands (Gesture).In major role of deep learning model Keras detecting the motion of hands. This video breaks down this sometimes complicated concept into easy-to-understand parts. You’ll learn about 3 concepts: local receptive fields, shared weights and biases, and activation and pool.