title: An Introduction to Gait Analysis
author: Michael W. Whittle BSc  MSc  MB  BS  PhD
description: Now onto its fourth edition this text aims to cover the gait cycle down to a tee. It starts you off on the basics and gradually progresses in more depth. <br /><br />The subject of gait analysis is approached from a biomechanical point of view with a lot of joint angle analysis, levers and moments and quite a bit on the equipment used to analyse gait. At points you begin to feel like you are looking at a robot and you have to remind yourself that this is human gait analysis. <br /><br />There does not seem to be much coverage of observational gait analysis which is one fundamental part of physiotherapy practice. <br /><br />While this is generally a good book for gait analysis, for us, as physiotherapists, to benefit from it we may need to spend some time interpreting the text and applying it from a slightly different perspective.<br /><br />- Steve Canning, In Touch, Spring 2008, No. 122.
zlib_text: Beginning 
  Machine Learning 
  in the Browser
  Quick-start Guide to Gait Analysis  
  with JavaScript and TensorFlow.js
  —
  Nagender Kumar Suryadevara
  
  Beginning Machine 
  Learning in the 
  Browser
  Quick-start Guide to Gait 
  Analysis with JavaScript 
  and TensorFlow.js
  Nagender Kumar Suryadevara
  
  Beginning Machine Learning in the Browser: Quick-start Guide to Gait 
  Analysis with JavaScript and TensorFlow.js
  ISBN-13 (pbk): 978-1-4842-6842-1 
   
  ISBN-13 (electronic): 978-1-4842-6843-8
  https://doi.org/10.1007/978-1-4842-6843-8
  Copyright © 2021 by Nagender Kumar Suryadevara 
  This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or 
  part of the material is concerned, specifically the rights of translation, reprinting, reuse of 
  illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, 
  and transmission or information storage and retrieval, electronic adaptation, computer software, 
  or by similar or dissimilar methodology 