Learning Human Gait.

Bibliographic Details
Main Author: Kasebzadeh, Parinaz.
Format: eBook
Language:English
Published: Linköping : Linkopings Universitet, 2019.
Edition:1st ed.
Series:Linköping Studies in Science and Technology. Dissertations Series
Subjects:
Online Access:Click to View
Table of Contents:
  • Intro
  • Abstract
  • Populärvetenskaplig sammanfattning
  • Acknowledgments
  • Contents
  • Notation
  • Introduction
  • Background
  • Pedestrian Dead Reckoning Positioning
  • Statistical Machine Learning
  • Applications
  • Gait Parameter Estimation
  • IMU Dataset For Motion and Device Mode
  • Asynchronous Averaging of Gait Cycles
  • Joint Pedestrian Motion State and Device Pose Classification
  • Conclusion and Future Work
  • Summary and Future Work
  • Bibliography.