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CyclePro: A Robust Framework for Domain-Agnostic Gait Cycle Detection
Author(s) -
Youchun Ma,
Zhila Esna Ashari,
Mahdi Pedram,
Navid Amini,
Daniel Tarquinio,
Kouros NouriMahdavi,
Mohammad Pourhomayoun,
Robert D. Catena,
Hassan Ghasemzadeh
Publication year - 2019
Publication title -
ieee sensors journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.681
H-Index - 121
eISSN - 1558-1748
pISSN - 1530-437X
DOI - 10.1109/jsen.2019.2893225
Subject(s) - gait , generalizability theory , computer science , wearable computer , cadence , artificial intelligence , noise (video) , robustness (evolution) , wearable technology , gait analysis , pattern recognition (psychology) , computer vision , engineering , mathematics , electronic engineering , embedded system , statistics , biochemistry , chemistry , gene , physiology , image (mathematics) , biology

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