This paper is published in Volume-5, Issue-2, 2019
Area
Neural Networks
Author
Bhavya Siripurapu, K. Rohini, P. Sumathi, A. Kranthi, Suresh Kurmalla
Org/Univ
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Keywords
TensorFlow, Mobile net, Depth wise separable convolution networks, Artificial Intelligence
Citations
IEEE
Bhavya Siripurapu, K. Rohini, P. Sumathi, A. Kranthi, Suresh Kurmalla. Controlling game using head movements, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Bhavya Siripurapu, K. Rohini, P. Sumathi, A. Kranthi, Suresh Kurmalla (2019). Controlling game using head movements. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Bhavya Siripurapu, K. Rohini, P. Sumathi, A. Kranthi, Suresh Kurmalla. "Controlling game using head movements." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Bhavya Siripurapu, K. Rohini, P. Sumathi, A. Kranthi, Suresh Kurmalla. Controlling game using head movements, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Bhavya Siripurapu, K. Rohini, P. Sumathi, A. Kranthi, Suresh Kurmalla (2019). Controlling game using head movements. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Bhavya Siripurapu, K. Rohini, P. Sumathi, A. Kranthi, Suresh Kurmalla. "Controlling game using head movements." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Abstract
The Project aim is to develop a game which replaces a computer mouse and keyboard for people who suffer from Acheiropody or Amputees. This application which can be stand-alone or web-based is based on tracking the head movements to control the actions in the game. This idea is an extension of a project from Tom Mitchell's “Machine Learning” book. We used neural networks to recognize the face and also to track the movements of the head, which requires us to have knowledge of the Tensor Flow framework which supports large computational power.