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Titlebook: Kinesthetic Perception; A Machine Learning A Subhasis Chaudhuri,Amit Bhardwaj Book 2018 Springer Nature Singapore Pte Ltd. 2018 Perceptuall

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Perceptual Deadzone,g perceptual deadzone for data compression. We review perceptually adaptive sampling strategies and their corresponding deadzones for multidimensional haptic signals. After that the literature related to the effect of rate of change of a stimuli on the Weber fraction is reviewed.
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Deadzone Analysis of 2-D Kinesthetic Perception, responses of several users to piecewise constant haptic signals. In order to predict the labels of the responses, we have used the Weber, level crossing, and conic section-based classifiers. It has been found that similar to 1-D haptic signal, the level crossing classifier performs better than the
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Effect of Rate of Change of Stimulus,timulus. If the assumption is not correct, the perceptual limitations of a human being are not fully exploited by the fixed Weber fraction. For example, if the signal changes very slowly, it is difficult for a user to react to the change, and when the change is too quick, the user may not be able to
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ective communication requires a dynamic web of pathways that carry precise, and informative, messages. Several classes of molecules have been shown to carry these messages, including nucleosides, amino acids, complex amines, carbohydrates, steroids, and peptides. Our understanding of the importance
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