Title :
A New Writing Experience: Finger Writing in the Air Using a Kinect Sensor
Author :
Xin Zhang ; Zhichao Ye ; Lianwen Jin ; Ziyong Feng ; Shaojie Xu
Author_Institution :
South China Univ. of Technol., Guangzhou, China
Abstract :
With the introduction of Microsoft Kinect, there has been considerable interest in creating various attractive and feasible applications in related research fields. Kinect simultaneously captures the depth and color information and provides real-time reliable 3D full-body human-pose reconstruction that essentially turns the human body into a controller. This article presents a finger-writing system that recognizes characters written in the air without the need for an extra handheld device. This application adaptively merges depth, skin, and background models for the hand segmentation to overcome the limitations of the individual models, such as hand-face overlapping problems and the depth-color nonsynchronization. The writing fingertip is detected by a new real-time dual-mode switching method. The recognition accuracy rate is greater than 90 percent for the first five candidates of Chinese characters, English characters, and numbers.
Keywords :
image colour analysis; image recognition; image reconstruction; image segmentation; image sensors; 3D full-body human-pose reconstruction; Chinese characters; English characters; Microsoft Kinect sensor; background model; color information; depth information; depth model; depth-color nonsynchronization; dual-mode switching method; finger writing system; hand segmentation; hand-face overlapping problems; numbers; recognition accuracy; skin model; writing experience; Fingerprint recognition; Handwriting recognition; Image color analysis; Kinetic sensors; Kinetics; Microsoft Kinect; depth-skin-background mixture model for hand segmentation; fingertip detection; human-computer interaction; multimedia; multimedia applications; writing in the air;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2013.50