NHẬN DẠNG CỬ CHỈ ĐỘNG CỦA BÀN TAY SỬ DỤNG DỮ LIỆU ẢNH ĐỘ SÂU

DYNAMIC HAND GESTURE RECOGNITION USING DEPTH DATA

Abstract

Recently, hand gesture recognition has been becomce a attractive field in computer vision. Which consists some main step such as: hand detection, hand segmentation, spotting gesture, feature extraction and classification. There are many state-of-the-art methods has been proposed while have almost ultilized RGB images. Moreover, almost recent method employed RGB images for these consequence states dynamic hand gesture recognition. Such modality still has to face with many challenges due to the light condition, motion blur, complex background, low resolution and so on. In this paper, we propose a new framework for deeply evaluate efficient of Depth information for dynamic hand gesture recogniton. In addition, the suitable frames number of depth images in a gestures are evaluated to obtain very competitive accuracy.