Hand Gesture Recognition for Human Computer Interaction

被引：50
|
作者：
Haria, Aashni [1 ]
Subramanian, Archanasri [1 ]
Asokkumar, Nivedhitha [1 ]
Poddar, Shristi [1 ]
Nayak, Jyothi S. [1 ]
机构：
[1] BMS Coll Engn, Dept Comp Sci & Engn, Bangalore 560019, Karnataka, India
来源：
7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING & COMMUNICATIONS (ICACC-2017) | 2017年 / 115卷
关键词：
Human Computer Interaction; Hand gesture recognition; Contours; Convex hull; Haar cascade;
D O I：
10.1016/j.procs.2017.09.092
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (c) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码：367 / 374
页数：8
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