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        Progressive Filtering Approach for Early Human Action Recognition

        Tehao Zhu,Yue Zhou,Zeyang Xia,Jiaqi Dong,Qunfei Zhao 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5

        Human action recognition plays an important role in vision-based human-robot interaction (HRI). In many application scenarios of HRI, robot is required to recognize the human action expressions as early as possible in order to ensure a suitable response. In this paper, we proposed a novel progressive filtering approach to improve the robot’s performance in identifying the ongoing human actions and thus to enhance the fluency and friendliness of HRI. Human movement data were captured by a Kinect device, and then the human actions were constituted by the refined movement data using robust regression-based refinement. Motion primitive, including both spatial and temporal information concerning the movement, was considered as an improved representation of action features. Then, the early human action recognition was accomplished based on an improved locality-sensitive hashing algorithm, by which the ongoing input action can be classified progressively. The proposed approach has been evaluated on four datasets of human actions in terms of accuracy and recall curves. The experiments showed that the proposed progressive filtering approach achieves high recognition rate, and in addition, can make the recognition decision at an earlier stage of the ongoing action.

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        An endophytic Coniochaeta velutina producing broad spectrum antimycotics

        Jie Xie,Gary A. Strobel,Tao Feng,Huishuang Ren,Morgan T. Mends,Zeyang Zhou,Brad Geary 한국미생물학회 2015 The journal of microbiology Vol.53 No.6

        An endophyte (PC27-5) was isolated from stem tissue of Western hemlock (Tsuga heterophylla) in a Pacific Northwest temperate rainforest. Phylogenetic analyses, based on ITS- 5.8S rDNA and 18S rDNA sequence data, combined with cultural and morphological analysis showed that endophyte PC27-5 exhibited all characteristics of a fungus identical to Coniochaeta velutina. Furthermore, wide spectrum antimycotics were produced by this endophyte that were active against such plant pathogens as Sclerotinia sclerotiorum, Pythium ultimum, and Verticillium dahliae and lethal to Phythophthora cinnamomi, Pythium ultimum, and Phytophthora palmivora in plate tests. The bioactive components were purified through organic solvent extraction, followed by silica column chromatography, and finally preparative HPLC. The minimum inhibitory concentration of the active fraction to Pythium ultimum, which was gained from preparative HPLC, was 11 μg/ml. UPLC-HRMS analysis showed there were two similar components in the antimycotic fraction. Their molecular formulae were established as C30H22O11 (compound I) and C30H22O10 (compound II) respectively, and preliminary spectral results indicate that they are anthroquinone glycosides. Other non – biologically active compounds were identified in culture fluids of this fungus by spectral means as emodin and chrysophanol - anthroquinone derivatives. This is the first report that Coniochaeta velutina as an endophyte produces bioactive antifungal components.

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