Titlebook: Human Motion Sensing and Recognition; A Fuzzy Qualitative Honghai Liu,Zhaojie Ju,Mehdi Khoury Book 2017 Springer-Verlag GmbH Germany 2017

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Fuzzy Empirical Copula for Estimating Data Dependence Structure,gorithm is implemented to identify the highest density objects which are used to represent the original dataset and then empirical copula is used to estimate its independence structure. Finally, two case studies have been carried out to demonstrate the effectiveness and efficiency of the fuzzy empirical copula.

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Fuzzy Qualitative Human Motion Analysis,xperiment results are provided to demonstrate the effectiveness of the proposed method. An empirical comparison with conventional Hidden Markov Model (HMM) and Fuzzy Hidden Markov Model (FHMM) shows that the proposed approach consistently outperforms both hidden Markov models in human motion recognition.

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Book 2017aches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques..With the rapid development of technologies in

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A Novel Approach to Extract Hand Gesture Feature in Depth Images,er earth mover’s distance algorithm is then applied to locate the palm image and extract fingertip features. Lastly and more importantly, a Lasso algorithm is proposed to effectively and efficiently extract the fingertip feature from a hand contour curve. Experimental results are discussed to demonstrate the effectiveness of the proposed approach.

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sociated the concavity of the von Neumann-Morgenstern utility function with some relevant aspects of the decision-maker’s preferences. In particular, risk aversion can be defined in terms of risk premium (i.e., the difference between the expected value and the certainty equivalent of a lottery). Wit

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Honghai Liu,Zhaojie Ju,Xiaofei Ji,Chee Seng Chan,Mehdi Khouryl a lack of clarity from a conceptual viewpoint. In this chapter we present a literature review of available categorizations or models of students’ beliefs related to mathematics learning and problem solving. These reveal that although they all cover a broad spectrum of relevant beliefs, there appea

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