Smartstep: A Robust STEP Detection Method Based on SMARTphone Inertial Signals Driven by Gait Learning
Author:
Affiliation:
1. Biomechanics and Impact Mechanics Laboratory (LBMC) UMR_T 9406, Université Gustave Eiffel, Université Claude Bernard Lyon 1, Lyon, France
2. AME-GEOLOC, Université Gustave Eiffel, Bouguenais, France
Funder
French National Research Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9795939/09761967.pdf?arnumber=9761967
Reference33 articles.
1. A Handheld Inertial Pedestrian Navigation System With Accurate Step Modes and Device Poses Recognition
2. RoNIN: Robust neural inertial navigation in the wild: Benchmark, evaluations, and new methods;yan;arXiv 1905 12853,2019
3. A Novel Pedestrian Dead Reckoning Algorithm for Multi-Mode Recognition Based on Smartphones
4. 8080labs/ppscore: Zenodo Release (1.1.2);wetschoreck,2020
5. Low vision affects dynamic stability of gait
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