It takes the average reader 3 hours and 45 minutes to read Machine Learning Techniques for Gait Biometric Recognition by James Eric Mason
Assuming a reading speed of 250 words per minute. Learn more
This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one...
Machine Learning Techniques for Gait Biometric Recognition by James Eric Mason is 223 pages long, and a total of 56,419 words.
This makes it 75% the length of the average book. It also has 69% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 8 minutes to read Machine Learning Techniques for Gait Biometric Recognition aloud.
Machine Learning Techniques for Gait Biometric Recognition is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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