Inertial Sensors-Applications and Challenges in a Nutshell.

accelerometers body area networks error modeling and calibration gyroscopes inertial motion tracking inertial sensors in health care and sports engineering inertial sensors in robotics and manufacturing inertial sensors in vehicle motion estimation and control localization and mapping machine learning applied to inertial sensor data magnetometers sensor fusion

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
31 Oct 2020
Historique:
received: 29 10 2020
accepted: 29 10 2020
entrez: 4 11 2020
pubmed: 5 11 2020
medline: 5 11 2020
Statut: epublish

Résumé

This editorial provides a concise introduction to the methods and applications of inertial sensors. We briefly describe the main characteristics of inertial sensors and highlight the broad range of applications as well as the methodological challenges. Finally, for the reader's guidance, we give a succinct overview of the papers included in this special issue.

Identifiants

pubmed: 33142738
pii: s20216221
doi: 10.3390/s20216221
pmc: PMC7662337
pii:
doi:

Types de publication

Editorial

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Thomas Seel (T)

Control Systems Group, Technische Universität Berlin, 10587 Berlin, Germany.

Manon Kok (M)

Delft Center for Systems and Control, Delft University of Technology, 2628 CD Delft, The Netherlands.

Ryan S McGinnis (RS)

Department of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT 05405, USA.

Classifications MeSH