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

• Main Authors: MM. Zabri, Abu Bakar, Rosdiyana, Samad, Pebrianti, Dwi, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/10586/1/Finger%20Application%20Using%20K-Curvature%20Methods%20and%20Kinect%20Sensor%20in%20Real-time.pdf; http://umpir.ump.edu.my/id/eprint/10586/

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.