ScienceDirect Available online at www.sciencedirect.com Procedia Computer Science 115 (2017) 367–374 1877-0509 © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 7th International Conference on Advances in Computing & Communications 10.1016/j.procs.2017.09.092 * Corresponding author. Tel.: +91-9880418229. E-mail address: jyothinayak.cse@bmsce.ac.in 7th International Conference on Advances in Computing & Communications, ICACC-2017, 22- 24 August 2017, Cochin, India Hand Gesture Recognition for Human Computer Interaction Aashni Haria a , Archanasri Subramanian a , Nivedhitha Asokkumar a , Shristi Poddar a , Jyothi S Nayak a * a Department of Computer Science & Engineering, BMS College of Engineering,Bangalore-560019,India. Abstract The use of a physical controller like mouse, keyboard for human computer interaction hinders natural interface as there is a strong barrier between the user and computer. In this paper, we have designed a robust marker- less hand gesture recognition system which can efficiently track both static and dynamic hand gestures. Our system translates the detected gesture into actions such as opening websites and launching applications like VLC Player and PowerPoint. The dynamic gesture is used to shuffle through the slides in presentation. Our results show that an intuitive HCI can be achieved with minimum hardware requirements. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 7th International Conference on Advances in Computing & Communications. Keywords: Human Computer Interaction; Hand gesture recognition; Contours; Convex hull; Haar cascade 1. Introduction The basic goal of Human Computer Interaction is to improve the interaction between users and computers by making the computer more receptive to user needs. Human Computer Interaction with a personal computer today is not just limited to keyboard and mouse interaction. Interaction between humans comes from different sensory modes like gesture, speech, facial and body expressions. Being able to interact with the system naturally is becoming ever more important in many fields of Human Computer Interaction. 

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