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

Hypothesis

書目名稱Human Motion Sensing and Recognition影響因子(影響力)




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書目名稱Human Motion Sensing and Recognition被引頻次




書目名稱Human Motion Sensing and Recognition被引頻次學(xué)科排名




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書目名稱Human Motion Sensing and Recognition讀者反饋學(xué)科排名

limber

A Unified Fuzzy Framework for Human Hand Motion Recognition,represent components of hand gestures with a fast convergence; FEC utilises the dependence structure among the finger joint angles to recognise the motion type. The proposed algorithms have been evaluated on a wide range of scenarios of human hand recognition: (a) datasets including 13 grasps and 10

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Apogee

Study of Human Action Recognition Based on Improved Spatio-Temporal Features,uantified and selected and finally tested by using Support Vector Machine (SVM) and AdaBoost-SVM recognition algorithm on the public KTH dataset. The testing results showed that the recognition rate has been significantly improved. Meantime, the test results verified the proposed features can more a

hysterectomy

A View-Invariant Action Recognition Based on Multi-view Space Hidden Markov Models,trained by HMMs algorithm in each sub-view space. By computing the probabilities of the test sequence (i.e. observation sequence) for the given multi-view space HMMs, the similarity between the sub-view space and the test sequence viewpoint are analysed during the recognition process. Finally the ac

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ed for all pairs of lotteries of this kind if and only if the von Neumann-Morgenstern utility function is concave. Moreover, the EU model does not imply that a randomization of lotteries matters (for instance, according to the EU model, a lottery whose consequences are a randomization of the outcome

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