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· 제목 : Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js (Paperback)
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781484268421
· 쪽수 : 182쪽
· 출판일 : 2021-04-02
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781484268421
· 쪽수 : 182쪽
· 출판일 : 2021-04-02
목차
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
