Titlebook: Machine Learning Techniques for Gait Biometric Recognition; Using the Ground Rea James Eric Mason,Issa Traoré,Isaac Woungang Book 2016 Spri

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Introduction to Gait Biometrics,at define an individual. As technology continues to improve, the automatic recognition of a person based on physical or behavioral characteristics, referred to as biometric recognition,used to assist with seems destined to have a profound impact on physical and cyber security while we progress through the twenty-first century.

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Feature Extraction,ad to classifier ., which occurs when undesirable characteristics, such as noise, are misinterpreted as being significant during training. One way to address these issues is to preprocess the data using a technique known as ..

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Gait Biometric Recognition Using the Footstep Ground Reaction Force, edge analysis techniques, which have often previously catered to the examination of similar problems in alternate domains. In this chapter, we begin by exploring the GRF in greater detail and proceed to describe the varying analysis techniques used in previous GRF recognition studies. In doing so,

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Experimental Design and Dataset,wo chapters that follow, with the objective of providing a comprehensive comparison of recognition techniques used in previous research while also demonstrating our own novel methods to increase recognition performance and counter the effects of variations in shoe type or differences in stepping spe

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 bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition.·         provides detailed discussions of key research challenges and open research issues i978-3-319-80486-6978-3-319-29088-1