Fast Integrating of Kinect V2 Data for Recognition of Hand Gesture

S. Chandra Sekhar*, Nitiket N Mhala**
*-** Department of Electronics Engineering, Bapurao Deshmukh College of Engineering Seagram Wardha, Maharashtra, India.
Periodicity:September - November'2021
DOI : https://doi.org/10.26634/jele.12.1.15413

Abstract

Hand gesture recognition is critical to human-computer interaction. This paper proposes a revolutionary permanent method for hand gestures and presents a framework for detecting rapid gestures using information combination techniques and a direct indicator of hand development. The foundation subtraction approach in this system removes the arm area from the foundation. This structure is currently adopted by the procedures for implementing the Kinect V2 application. The required time is confirmed quickly compared to other ongoing minutes. The time analysis is compared and using the data pooling approach, the average time is 63ms. The average time is 45 milliseconds when using Rapid Data Integration. The time it takes to recognize hand movement has been reduced. MATLAB is used to analyze the results of experiments.

Keywords

Gesture Recognition, Human-Computer Interaction, Kinect V2 System.

How to Cite this Article?

Sekhar, S. C., and Mhala, N. N. (2021). Fast Integrating of Kinect V2 Data for Recognition of Hand Gesture. i-manager's Journal on Electronics Engineering, 12(1), 16-22. https://doi.org/10.26634/jele.12.1.15413

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