Advanced search
Publication Cover
Computer Methods in Biomechanics and Biomedical Engineering Volume 23, 2020 - Issue sup1: 45th Congress of the Société de Biomécanique
Submit an article Journal homepage
1,055
Views
0
CrossRef citations to date
0
Altmetric
Abstracts

Assessing gait variability from cellphone IMU placed in several locations: a feasibility study

N. Al AbiadLBMC UMR_T9406, Univ Lyon, Univ Gustave Eiffel, Lyon, France; Correspondence[email protected]
,
V. RenaudinAME-GEOLOC, IFSTTAR, Univ Gustave Eiffel, Bouguenais, France
&
T. RobertLBMC UMR_T9406, Univ Lyon, Univ Gustave Eiffel, Lyon, France;
Pages S1-S3 | Published online: 02 Nov 2020

References

  • Beauchet O, Annweiler C, Lecordroch Y, Allali G, Dubost V, Herrmann FR, Kressig RW. 2009. Walking speed-related changes in stride time variability: effects of decreased speed. J NeuroEngineering Rehabil. 6(1):32.
  • Hausdorff JM. 2005. Gait variability: methods, modeling and meaning. J NeuroEngineering Rehabil. 2(1):19.
  • Pepa L, Verdini F, Spalazzi L. 2017. Gait parameter and event estimation using smartphones. Gait Posture. 57:217–223.
  • Roeing KL, Hsieh KL, Sosnoff JJ. 2017. A systematic review of balance and fall risk assessments with mobile phone technology. Arch Gerontol Geriatr. 73:222–226.
  • Susi M, Renaudin V, Lachapelle G. 2013. Motion mode recognition and step detection algorithms for mobile phone users. Sensors (Basel). 13(2):1539–1562.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.