This paper is published in Volume-4, Issue-1, 2018
Area
Computer Vision, Deep Learning
Author
Kartik Wadehra, Mukul Kathpalia, Vasudha Bahl
Org/Univ
Maharaja Agrasen Institute of Technology, Rohini, Delhi, India
Keywords
Gesture Recognition, Haar Feature Based Classification, Convolutional Neural Networks, Hand Detection.
Citations
IEEE
Kartik Wadehra, Mukul Kathpalia, Vasudha Bahl. Hand Detection and Gesture Recognition in Real-Time Using Haar-Classification and Convolutional Neural Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kartik Wadehra, Mukul Kathpalia, Vasudha Bahl (2018). Hand Detection and Gesture Recognition in Real-Time Using Haar-Classification and Convolutional Neural Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Kartik Wadehra, Mukul Kathpalia, Vasudha Bahl. "Hand Detection and Gesture Recognition in Real-Time Using Haar-Classification and Convolutional Neural Networks." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Kartik Wadehra, Mukul Kathpalia, Vasudha Bahl. Hand Detection and Gesture Recognition in Real-Time Using Haar-Classification and Convolutional Neural Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kartik Wadehra, Mukul Kathpalia, Vasudha Bahl (2018). Hand Detection and Gesture Recognition in Real-Time Using Haar-Classification and Convolutional Neural Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Kartik Wadehra, Mukul Kathpalia, Vasudha Bahl. "Hand Detection and Gesture Recognition in Real-Time Using Haar-Classification and Convolutional Neural Networks." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Abstract
Over the past few years, with the development of hardware and software, Human-Computer Interaction(HCI) has evolved from the use of keyboard and mouse to a more gesture-based approach to make the computer function according to your own will. Gesture Recognition has been used successfully in various applications like gaming (Xbox Kinect), recognizing sign languages and many others. The use case for the gesture recognition problem is very vast and therefore is being worked on continuously.
