Robust Hand Gesture Detection Based on Feature Classifier

Abstract

In this article, a novel automatic hand gesture detection approach based on the boosted classifiers is proposed, which analyze the hand gesture features. At first, hand gesture images are processed with local binary pattern (LBP) operator which has the powerful capability of texture feature description. And then these features are presented with LBP descriptor of hand gesture image which is divided into several blocks, because of too much dimension of feature vector, using Principal Component Analysis (PCA) to reduce dimension and compression. Finally, Kalman predictor is adopted to detect hand gesture, which is able to make the detection result more stable and accurate. Experiments have been carried out and the target regions have been detected and took it as the gesture truth to compare with the detection results. The proposed algorithm provides better detection result in comparison with various hand gesture detection algorithms. The proposed approach is robust to background, and it can detect the hand gesture quickly and effectively.

Reviews on the Geopolymer Materials for Coating Application

“…The molar Na: Al ratio of all samples was fixed at 1 and the Si: Al ratio was varied from 1 to 3.5. Other than that, the combination of MK and granulated blast furnace slag (GBFS) also has been used as geopolymer coating [12][13]. However for alkaline activator, only NaOH was used.…”

“…This type of coating was plan for application for existing concrete at marine environment; as such it was tested at laboratory first by using seawater. In the meantime, to represent the existent concrete cement paste and mortar were prepared using Grade-52.5 ordinary Portland cement (OPC) and river sand [12]. Samples Preparation.…”

“…The preparation of geopolymer coating consists of MK and GBFS was prepared by mixing the dry material together (MK and GBFS) and finally mixed with alkaline activator (NaOH). Nevertheless, when PP fiber was used, it has to be mixed with alkaline activator first [12][13]. For the cement mortar, it was produced by using cement/sand ratio of 1:3, water/ cement ratio of 0.5 and water/cement of 0.27 for cement paste.…”

“…There three important steps in geopolymerisation process [1 4]: (1) dissolution of silicon (Si) and aluminum (Al) from the raw material when mixed with alkaline solution (2) The leached ions will reorganized to balance the geopolymer matrix with the formation of small coagulated structure or known as zeolite precursor (3) polycondensation of soluble species to form hydrated products. Usually geopolymers used for production of cement and concrete [5][6][7], fire resistant panel [8] and coating application [9][10][11][12][13]. Moreover, the utilization of geopolymers can reduce the greenhouse gases effect due to lower emission of carbon dioxide (CO 2 ) [14] which are good for environment.…”

A gesture-based interface for the exploration and classification of protein binding cavities

“…Other applications focus on interaction realism vial two handed interaction [8] or proprioception [5]. To recognize user gestures, a range of fundamental tools have been developed for camera based recognition [4], using boundary extraction [1], depth images [9], and principal components [13].…”