Abstract
In the multi-modal natural human-computer interaction (HCI), real-time finger position detection with high accuracy becomes an important basis for interactive modeling of the virtual environment. In this paper, a novel fingertip auto-positioning (FAP) detection method is proposed for tracking finger position with a Microsoft Kinect sensor. Based on the finger skeleton point obtained through the Kinect SDK (Software Development Kit), skeleton point correction and fingertip auto-positioning are realized with the pixels circle which covers the fingertip area within a certain threshold. The experimental results show that the average AMPE (Absolute Mean Percentage Error) of the proposed finger position detection method are 1.47%, 1.62% and 0.80% respectively in the direction of X, Y and Z axes while its execution rate is 23 Hz. The proposed method can be applied to haptic based virtual reality applications and provide required position information for haptic modeling.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
