Details
| Original language | English |
|---|---|
| Article number | 6221 |
| Pages (from-to) | 1-5 |
| Number of pages | 5 |
| Journal | Sensors (Switzerland) |
| Volume | 20 |
| Issue number | 21 |
| Publication status | Published - 1 Sept 2020 |
| Externally published | Yes |
Abstract
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.
Keywords
- 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
ASJC Scopus subject areas
- Chemistry(all)
- Analytical Chemistry
- Computer Science(all)
- Information Systems
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Biochemistry, Genetics and Molecular Biology(all)
- Biochemistry
- Physics and Astronomy(all)
- Instrumentation
- Engineering(all)
- Electrical and Electronic Engineering
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In: Sensors (Switzerland), Vol. 20, No. 21, 6221, 01.09.2020, p. 1-5.
Research output: Contribution to journal › Editorial in journal › Research › peer review
}
TY - JOUR
T1 - Inertial sensors—applications and challenges in a nutshell
AU - Seel, Thomas
AU - Kok, Manon
AU - McGinnis, Ryan S.
N1 - Publisher Copyright: © 2020 by the authors.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - 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.
AB - 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.
KW - Accelerometers
KW - Body area networks
KW - Error modeling and calibration
KW - Gyroscopes
KW - Inertial motion tracking
KW - Inertial sensors in health care and sports engineering
KW - Inertial sensors in robotics and manufacturing
KW - Inertial sensors in vehicle motion estimation and control
KW - Localization and mapping
KW - Machine learning applied to inertial sensor data
KW - Magnetometers
KW - Sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=85094867498&partnerID=8YFLogxK
U2 - 10.3390/s20216221
DO - 10.3390/s20216221
M3 - Editorial in journal
C2 - 33142738
AN - SCOPUS:85094867498
VL - 20
SP - 1
EP - 5
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
SN - 1424-8220
IS - 21
M1 - 6221
ER -