25,059 research outputs found

    High Accuracy Human Activity Monitoring using Neural network

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    This paper presents the designing of a neural network for the classification of Human activity. A Triaxial accelerometer sensor, housed in a chest worn sensor unit, has been used for capturing the acceleration of the movements associated. All the three axis acceleration data were collected at a base station PC via a CC2420 2.4GHz ISM band radio (zigbee wireless compliant), processed and classified using MATLAB. A neural network approach for classification was used with an eye on theoretical and empirical facts. The work shows a detailed description of the designing steps for the classification of human body acceleration data. A 4-layer back propagation neural network, with Levenberg-marquardt algorithm for training, showed best performance among the other neural network training algorithms.Comment: 6 pages, 4 figures, 4 Tables, International Conference on Convergence Information Technology, pp. 430-435, 2008 Third International Conference on Convergence and Hybrid Information Technology, 200

    Frequency based Classification of Activities using Accelerometer Data

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    This work presents, the classification of user activities such as Rest, Walk and Run, on the basis of frequency component present in the acceleration data in a wireless sensor network environment. As the frequencies of the above mentioned activities differ slightly for different person, so it gives a more accurate result. The algorithm uses just one parameter i.e. the frequency of the body acceleration data of the three axes for classifying the activities in a set of data. The algorithm includes a normalization step and hence there is no need to set a different value of threshold value for magnitude for different test person. The classification is automatic and done on a block by block basis.Comment: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 200

    Some characterizations of spheres and elliptic paraboloids II

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    We show some characterizations of hyperspheres in the (n+1)(n+1)-dimensional Euclidean space En+1{\Bbb E}^{n+1} with intrinsic and extrinsic properties such as the nn-dimensional area of the sections cut off by hyperplanes, the (n+1)(n+1)-dimensional volume of regions between parallel hyperplanes, and the nn-dimensional surface area of regions between parallel hyperplanes. We also establish two characterizations of elliptic paraboloids in the (n+1)(n+1)-dimensional Euclidean space En+1{\Bbb E}^{n+1} with the nn-dimensional area of the sections cut off by hyperplanes and the (n+1)(n+1)-dimensional volume of regions between parallel hyperplanes. For further study, we suggest a few open problems.Comment: 10 page

    Standard Embeddings of Smooth Schubert Varieties in Rational Homogeneous Manifolds of Picard Number 1

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    Smooth Schubert varieties in rational homogeneous manifolds of Picard number 1 are horospherical varieties. We characterize standard embeddings of smooth Schubert varieties in rational homogeneous manifolds of Picard number 1 by means of varieties of minimal rational tangents. In particular, we mainly consider nonhomogeneous smooth Schubert varieties in symplectic Grassmannians and in the 20-dimensional F4F_4-homogeneous manifold associated to a short simple root.Comment: 22 page
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