Hand Gesture Recognition for Human Computer Interaction: a Review
Year: 2015
Type: dataset
Abstract: In today's computer age, difficult to manually compare live image with trained database images so it is very necessary to perform all this manual work by computers. In the recent years new technologies of Human Computer Interaction (HCI) are being developed to deliver user's command to robots. The objective of this paper is to compare all various algorithms invited for gesture detection and recognition such as support vector machine, neural networks, and adaptive boosting (AdaBoost).Among these methods, AdaBoost based handpose detectors are trained with a reduced Haar-like feature set to make the detector robust.
Source: Figshare
Authors: Gurav, Ruchi Manish, Premanand K. Kadbe
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4394078643