Real-time Three-dimensional Fingertips Tracking Algorithm Based on the Kinect Sensor
Date Issued
2016
Date
2016
Author(s)
Chang, Chih
Abstract
Fingertips tracking is of great importance for human-computer interaction (HCI), because it can be applied both in the hand gesture recognition (HGR) and hand movement detection. And its extensive applications in virtual reality, sign language recognition, and smart device makes it a hot research topic in recent years. Despite lots of previous work, traditional vision-based hand gesture recognition methods are still far from satisfactory for real-life applications. In this thesis, a novel method for fingertips tracking using the Microsoft Kinect for Xbox One is described, and a real-time fingertips tracking system is implemented with Microsoft Visual Studio 2013. The system is able to detect the hand of the user, to identify fingers, and to display the relative axis and depth axis information of fingertips on screen. The overall accuracy of the real-time fingertips tracking system is about 97.1%. Because the depth sensor of the Kinect is an infrared camera, the lighting conditions and background have little impact on the performance of this system. The accuracy and robustness make this system a versatile component that can be integrated in a variety of applications in daily life.
Subjects
Human Computer Interaction (HCI)
Hand Gesture Recognition (HGR)
Fingertips Tracking
Computer Vision
Pattern Recognition
Image Processing
Sign language Gesture recognition
Type
thesis
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