期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：47
期号：4
页码：209-212
DOI：10.14445/22312803/IJCTT-V47P133
出版社：Seventh Sense Research Group
摘要：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.
关键词：HCI; Haar Cascade; Convex Hull; Convexity Defects
