Open AccessReal Time Vision Based Fingertip Detection Strategies
Author(s) -
Ricky Jacob,
N. Sugitha
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6297.129219
Subject(s) - computer science , augmented reality , human–computer interaction , gesture , virtual reality , field (mathematics) , gesture recognition , identification (biology) , artificial intelligence , context (archaeology) , robot , computer vision , paleontology , botany , mathematics , pure mathematics , biology
The Fingertip Detection acts a specific role in most of the vision based applications. The latest technologies like virtual reality and augmented reality actually follows this fingertip detection concept as its foundation. It is also helpful for Human Computer Interaction (HCI). So fingertip detection and tracking can be applied from games to robot control, from augmented reality to smart homes. The most important interesting field of fingertip detection is the gesture recognition related applications. In the context of interaction with the machines, gestures are the most simplest and efficient means of communication. This paper analyses the various works done in the areas of fingertip detection. A review on various real time fingertip methods is explained with different techniques and tools. Some challenges and research directions are also highlighted. Many researchers uses fingertip detection in HCI systems those have many applications in user identification, smart home etc. A comparison of results by different researchers is also included.