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Author:   Nagender Kumar Suryadevara
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.454kg
ISBN:  

9781484268421

ISBN 10:   1484268423
Pages:   182
Publication Date:   02 April 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Chapter 1: What is Machine Learning (ML)?     Basics of Java Script (JS)     Programming in the browser using Java Script     Graphics and Interactive processing in the browser using Java Script libraries     Getting started with P5.JS and ML5.JS     References Chapter 2: Human Pose Estimation in the Browser     Browser based data processing     Posenet vs Openpose models     Human pose estimation using ML5.Posenet     Inputs, Outputs and Data structures of Posenet model     References Chapter 3: Human Pose Classification      Classification techniques using ML Neural Network in the browser     Human Pose classification based on the outputs of Posenet model     Consideration of poses using Confidence scores of Posenet model     Storage of data using JSON formats related to the outputs of Posenet model     References Chapter 4: Gait Analysis     Normal vs Abnormal Gait patterns     Determination of Gait patterns using threshold values of the models     User Interface design and development for monitoring of Gait patterns     Real-Time data visualization of the Gait patterns on the browser     References Chapter 5: Future Possible Applications of Key Concepts

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Author Information

Nagender Kumar Suryadevara received his Ph.D. from the School of Engineering and Advanced Technology, Massey University, New Zealand, in 2014. He has authored two books and over 45 publications in different international journals, conferences, and book chapters. His research interests lie in the domains of wireless sensor networks, Internet of Things technologies, and time-series data mining.

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