Online Resource
Linköping :Linköping University Electronic Press,
UID:
kobvindex_HPB1121140512
Format:
1 online resource (166 pages)
ISBN:
9789175190143
,
9175190141
Note:
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
Additional Edition:
Print version: Kasebzadeh, Parinaz. Learning Human Gait. Linköping : Linköping University Electronic Press, ©2019
Language:
English
URL:
ProQuest Ebook Central
Bookmarklink
Library |
Location |
Call Number |
Volume/Issue/Year |
Availability |