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|a Kasebzadeh, Parinaz.
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|a Learning Human Gait.
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| 250 |
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|a 1st ed.
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| 264 |
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|a Linköping :
|b Linkopings Universitet,
|c 2019.
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| 264 |
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|c {copy}2019.
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| 300 |
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|a 1 online resource (166 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Linköping Studies in Science and Technology. Dissertations Series ;
|v v.2012
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| 505 |
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|a 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.
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| 588 |
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|a Description based on publisher supplied metadata and other sources.
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| 590 |
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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4 |
|a Electronic books.
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| 776 |
0 |
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|i Print version:
|a Kasebzadeh, Parinaz
|t Learning Human Gait
|d Linköping : Linkopings Universitet,c2019
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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|a Linköping Studies in Science and Technology. Dissertations Series
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=5880638
|z Click to View
|
