Hand Gesture Recognition System
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-47 Number-4 |
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| Year of Publication : 2017 | ||
| Authors : Aashni P Haria, Archanasri Subramanian, Nivedhitha Asokkumar, Shristi Poddar, Jyothi S Nayak | ||
| DOI : 10.14445/22312803/IJCTT-V47P133 |
Aashni P Haria, Archanasri Subramanian, Nivedhitha Asokkumar, Shristi Poddar, Jyothi S Nayak "Hand Gesture Recognition System". International Journal of Computer Trends and Technology (IJCTT) V47(4):209-212, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Most of the human computer interaction interfaces that are designed today require explicit instructions from the user in the form of keyboard taps or mouse clicks. As the complexity of these devices increase, the sheer amount of such instructions can easily disrupt, distract and overwhelm users. A novel method to recognize hand gestures for human computer interaction, using computer vision and image processing techniques, is proposed in this paper. The proposed method can successfully replace such devices (e.g. keyboard or mouse) needed for interacting with a personal computer. In this we use a depth camera along with markers to recognize hand gestures for various mouse functions like scroll, swipe, zoom etc. and different gestures which represent words that would facilitate searching for common subjects on the internet without typing the entire word. This results in real time performance and a more intuitive and natural interaction between the user and the computer.
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Keywords
HCI, Haar Cascade, Convex Hull, Convexity Defects.