LEARNING HUMAN IDENTITY FROM MOTION PATTERNS

Learning Human Identity From Motion Patterns

We present a large-scale study exploring the capability of temporal deep neural networks to interpret natural human kinematics and introduce the first method for active biometric authentication with mobile inertial Scarf sensors.At Google, we have created a first-of-its-kind data set of human movements, passively collected by 1500 volunteers using

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Pseudomonas lipopeptide: An excellent biomedical agent

Scarf Abstract Lipopeptides are surface active molecules with hydrophilic and hydrophobic regions and are kenned to be engendered by different species of Bacillus and Pseudomonas.These lipopeptides can be applied in different domains because of their remarkable properties like antibacterial, antifungal, anticorrosion, antitumor, and antiviral.They

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Current concepts of salivary gland tumors

The embryonic development of salivary glands is a complex process that creates compact, MIXED VEGETABLES highly organized secretory organs with functions essential for oral health.The development is an example of branching morphogenesis, recent research found to involve unexpectedly dynamic cell motility, and novel regulatory pathways.Numerous grow

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