Fingertip Detection for Hand Pose Recognition
نویسندگان
چکیده
In this paper, a novel algorithm is proposed for fingertip detection and finger type recognition. The algorithm is applied for locating fingertips in hand region extracted by Bayesian rule based skin color segmentation. Morphological operations are performed in the segmented hand region by observing key geometric features. A probabilistic modeling of the geometric features of finger movement has made the finger type recognition process significantly robust. Proposed method can be employed in a variety of applications like sign language recognition and human robot interactions. KeywordsHand Posture, Human Computer Interaction, Hand Modelling.
منابع مشابه
An Analysis of Hand Gesture Recognition Technique Using Finger Movement Detection Based on Color Marker
Hand Gesture recognition and Human Computer Interaction is an open research problem as the main purpose behind gesture recognition research is to identify a particular human gesture by computer. Hand gesture recognition based man-machine interface is being currently developed and researched upon both by industry and academia. In this paper, we develop a technique for recognizing the gestures ma...
متن کاملFingertip Detection: A Fast Method with Natural Hand
Many vision based applications have used fingertips to track or manipulate gestures in their applications. Gesture identification is a natural way to pass the signals to the machine, as the human express its feelings most of the time with hand expressions. Here a novel time efficient algorithm has been described for fingertip detection. This method is invariant to hand direction and in preproce...
متن کاملSpatio-Temporal Hough Forest for efficient detection-localisation-recognition of fingerwriting in egocentric camera
Recognising fingerwriting in mid-air is a useful input tool for wearable egocentric camera. In this paper we propose a novel framework to this purpose. Specifically, our method first detects a writing hand posture and locates the position of index fingertip in each frame. From the trajectory of the fingertip, the written character is localised and recognised simultaneously. To achieve this chal...
متن کاملFingertip Tracking and Hand Gesture Recognition by 3D Vision
This paper introduces an algorithm to track palm and fingertips based on images with depth data in real-time. Some meaningful hand gesture is then recognized by the detected palm and fingertips. The images with depth information are first captured by a Kinect camera. Then foreground and background are separated to pick up the potential hand. The fingertips are then detected by the curvature of ...
متن کاملInerTouchHand System – iTH Demonstration of a Glove Device with Distributed Inertial Sensors and Vibro-tactile Feedback
The InerTouchHand System shows the usage of an instrumented glove-like device for HMI-Human Machine Interaction applications. We explored the use of distributed inertial sensors and vibro-tactile stimulators on the hand. Distributed Inertial Measurement Units (IMUs) can be used to infer structure and reconstruct 6D pose of nodes, as well as relative motion. Our system uses MEMS IMUs on each fin...
متن کامل