4,396 research outputs found
Improving Kinematic Accuracy of Soft Wearable Data Gloves by Optimizing Sensor Locations
Bending sensors enable compact, wearable designs when used for measuring hand configurations in data gloves. While existing data gloves can accurately measure angular displacement of the finger and distal thumb joints, accurate measurement of thumb carpometacarpal (CMC) joint movements remains challenging due to crosstalk between the multi-sensor outputs required to measure the degrees of freedom (DOF). To properly measure CMC-joint configurations, sensor locations that minimize sensor crosstalk must be identified. This paper presents a novel approach to identifying optimal sensor locations. Three-dimensional hand surface data from ten subjects was collected in multiple thumb postures with varied CMC-joint flexion and abduction angles. For each posture, scanned CMC-joint contours were used to estimate CMC-joint flexion and abduction angles by varying the positions and orientations of two bending sensors. Optimal sensor locations were estimated by the least squares method, which minimized the difference between the true CMC-joint angles and the joint angle estimates. Finally, the resultant optimal sensor locations were experimentally validated. Placing sensors at the optimal locations, CMC-joint angle measurement accuracies improved (flexion, 2.8° ± 1.9°; abduction, 1.9° ± 1.2°). The proposed method for improving the accuracy of the sensing system can be extended to other types of soft wearable measurement devices
An efficient method for visualization and growth of fluorescent Xanthomonas oryzae pv. oryzae in planta
<p>Abstract</p> <p>Background</p> <p><it>Xanthomonas oryzae </it>pv. <it>oryzae</it>, the causal agent of bacterial blight disease, is a serious pathogen of rice. Here we describe a fluorescent marker system to study virulence and pathogenicity of <it>X. oryzae </it>pv. <it>oryzae</it>.</p> <p>Results</p> <p>A fluorescent <it>X. oryzae </it>pv. <it>oryzae </it>Philippine race 6 strain expressing green fluorescent protein (GFP) (PXO99<sub>GFP</sub>) was generated using the <it>gfp </it>gene under the control of the neomycin promoter in the vector, pP<it>neo</it>-<it>gfp</it>. The PXO99<sub>GFP</sub>strain displayed identical virulence and avirulence properties as the wild type control strain, PXO99. Using fluorescent microscopy, bacterial multiplication and colonization were directly observed in rice xylem vessels. Accurate and rapid determination of bacterial growth was assessed using fluoremetry and an Enzyme-Linked ImmunoSorbant Assay (ELISA).</p> <p>Conclusion</p> <p>Our results indicate that the fluorescent marker system is useful for assessing bacterial infection and monitoring bacterial multiplication <it>in planta</it>.</p
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