Open AccessHigh-speed Integration of Kinect V2 Data for Identification of Hand Gesture in Real time Movements
Author(s) -
S.Chandra Sekhar*,
N. N. Mhala
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.k1742.118419
Subject(s) - computer science , gesture , gesture recognition , subtraction , artificial intelligence , matlab , computer vision , identification (biology) , movement (music) , background subtraction , speech recognition , pixel , philosophy , botany , arithmetic , mathematics , aesthetics , biology , operating system
Hand gesture recognition is extremely critical for human-PC connection. This manuscript presents a narrative constant strategy for human-hand gesture recognition. Here a framework for the discovery of quick gesture movement by utilizing a direct indicator of hand developments utilizing information combination technique. In our system, the hand area is removed from the foundation with the foundation subtraction strategy. At long last, the framework has been approved by methods for the Kinect v2 application actualized. The time requirement is recognized and the recognition is quick contrasted with other ongoing minutes. The timing analysis is compared , and the average time using data fusion method [1] is 63ms. By using fast integrating of data the average time is 45ms. The time taken for recognition of hand gesture is been improved. The experimental results are performed using Matlab tool.