GESTICULATION BASED MEDIA PLAYER CONTROLLER USING DEEP LEARNING

GESTICULATION BASED MEDIA PLAYER CONTROLLER USING DEEP LEARNING

Kavinkumaar.B.S, Yakkeshwar, Janarthanan.R, M.J.T.Vasantha Priya

Department Of Artificial Intelligence and Data Science

Veltech Hightech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi,ch-62,India

*Corresponding Author: M.J.T.Vasantha Priya, Email id:vasanthapriya@velhightech.com

ABSTRACT

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.

Keywords —Tensor flow, pyautogui ,keras ,streamlit, python open cv