Finger Application Using K-Curvature Methods and Kinect Sensor in Real-time

MM. Zabri, Abu Bakar and Rosdiyana, Samad and Pebrianti, Dwi and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah (2015) Finger Application Using K-Curvature Methods and Kinect Sensor in Real-time. In: International Symposium on Technology Management and Emerging Technologies , 25-27 August 2014 , Langkawi, Kedah. . (Unpublished)

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Gestures are an important aspect of human interaction and also in the context of human computer interaction. Gesture recognition is the mathematical interpretation of a human motion by a computing device. It is often used hand or head gestures for input commands in personal computers. By recognizing the hand gesture as input, it allows the user access the computer interactively and makes interaction more natural. This paper presents a finger detection application by using Kinect. Kinect is a depth sensor is that is an effective device to capture the gesture in real-time. To detect and recognize the fingertips, it needs to extract the detail of the captured hand image using image processing methods. İn this paper, the proposed method is to detect and recognizes the fingertips by using the K-Curvature algorithm. Finally, the finger counting application is applied and the proposed method is discussed at the end of this paper. The results obtained from the experiment show that the average accuracy for the fingertips detection is 73.7% and the average processing time is 15.73 ms.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: hand tracking, finger detection, Kinect sensor, gesture recognition.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 01 Oct 2015 02:47
Last Modified: 11 Apr 2018 01:44
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