MEMS barometers and barometric altimeters in industrial, medical, aerospace, and consumer applications
Abstract
The rapid growth of microelectromechanical systems (MEMS) sensors over the last decades has introduced compactness along with maximum accuracy and has brought new directions for automation in industry. Nowadays, MEMS sensors are considered a highly efficient technology, which is found in abundant industrial, medical, aerospace, and consumer applications. This article discusses the importance and pervasiveness of MEMS sensors in our daily lives and identifies the challenges and limitations of integrating barometric pressure sensors in cutting-edge applications. While inertial sensors (i.e., accelerometers and gyroscopes) have been thoroughly explored, little effort has been devoted to the explicit examination of MEMS barometers and barometric altimeters. An overview of the potential applications of MEMS barometric sensors as well as the critical issues that affect system performance, along with recommendations on different prototype platforms for research and educational practices, are presented in this article.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Barometric measurements can be error-prone because the device might mistake natural changes in ambient temperature and pressure as a change in altitude.
“However, barometric measurements can be error-prone because the device might mistake natural changes in ambient temperature and pressure as a change in altitude10.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [10]
Cites
Wireless micromachined ceramic pressure sensor for high-temperature applications
Fonseca, M. A., English, J. M., von Arx, M., et al. (2002) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2002.800939 · Cited by 322 · see citing works
Applications of MEMS in Surgery
Rebello, K. J. (2004) · Proceedings of the IEEE · doi:10.1109/jproc.2003.820536 · Cited by 223 · see citing works
Providing dynamically changeable physical buttons on a visual display
Harrison, C., & Hudson, S. E. (2009) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1518701.1518749 · Cited by 222 · see citing works
The Feel of MEMS Barometers: Inexpensive and Easily Customized Tactile Array Sensors
Tenzer, Y., Jentoft, L. P., & Howe, R. D. (2014) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2014.2310152 · Cited by 205 · see citing works
Benjumea, P., Agudelo, J. R., & Agudelo, A. (2008) · Fuel · doi:10.1016/j.fuel.2008.10.011 · Cited by 172 · see citing works
Recent advances in MEMS sensor technology – biomedical applications
Khoshnoud, F., & de Silva, C. W. (2012) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2012.6145254 · Cited by 130 · see citing works
Muralidharan, K., Khan, A., Misra, A., et al. (2014) · Proceedings · doi:10.1145/2565585.2565596 · Cited by 129 · see citing works
Kim, S., Kim, H.-J., Lee, B.-R., et al. (2008) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1357054.1357090 · Cited by 113 · see citing works
Using barometers to determine the height for indoor positioning
Li, B., Harvey, B., & Gallagher, T. J. (2013) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2013.6817923 · Cited by 108 · see citing works
Automation of Small UAVs using a Low Cost Mems Sensor and Embedded Computing Platform
Jang, J. S., & Liccardo, D. (2006) · IEEE/AIAA Digital Avionics Systems Conference (DASC) · doi:10.1109/dasc.2006.313772 · Cited by 84 · see citing works
Ohtaki, Y., Susumago, M., Suzuki, A., Sagawa, K., Nagatomi, R., & Inooka, H. (2005) · Microsystem Technologies · doi:10.1007/s00542-005-0502-z · Cited by 53 · see citing works
Energy Expenditure Estimation using Smartphone Body Sensors
Pande, A., Zeng, Y., Das, A., et al. (2013) · International Conference on Body Area Networks · doi:10.4108/icst.bodynets.2013.253699 · Cited by 36 · see citing works
Integrating microelectromechanical systems with integrated circuits
Bryzek, J., Flannery, A. F., & Skurnik, D. (2004) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2004.1304566 · Cited by 35 · see citing works
Massé, F., Bourke, A. K., Chardonnens, J., et al. (2014) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2014.01.001 · Cited by 26 · see citing works
Bolanakis, D. E., Kotsis, K. Τ., & Laopoulos, T. (2015) · IEEE Aerospace and Electronic Systems Magazine · doi:10.1109/maes.2015.150013 · Cited by 24 · see citing works
Self-citationDifferential Barometric Altimetry Assists Floor Identification in WLAN Location Fingerprinting Study
Liu, K., Wang, Y., & Wang, J. (2014) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-319-04028-8_2 · Cited by 20 · see citing works
Investigation of calibration facilities of precision line scales
Jakštas, A., Kaušinis, S., & Flügge, J. (2015) · doi:10.5755/j01.mech.53.3.13034 · Cited by 16 · see citing works
Evaluating performance of MEMS barometric sensors in differential altimetry systems
Bolanakis, D. E. (2017) · IEEE Aerospace and Electronic Systems Magazine · doi:10.1109/maes.2017.160248 · Cited by 13 · see citing works
Self-citationBarometric Phone Sensors – More Hype Than Hope!
Muralidharan, K., Khan, A. J., Misra, A., et al. (2015) · Cited by 13 · see citing works
Packaging of microsystems for harsh environments
Sparjs, D. R. (2001) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/5289.953456 · Cited by 12 · see citing works
Ethernet and PC‐based experiments on barometric altimetry using MEMS in a wireless sensor network
Bolanakis, D. E., Kotsis, K. Τ., & Laopoulos, T. (2016) · Computer Applications in Engineering Education · doi:10.1002/cae.21722 · Cited by 11 · see citing works
Self-citationCeramic MEMS Designed for Wireless Pressure Monitoring in the Industrial Environment
Pavlin, M., Belavič, D., & Novak, F. (2011) · Sensors · doi:10.3390/s120100320 · Cited by 10 · see citing works
MEMS Barometers Toward Vertical Position Detection
Bolanakis, D. E. (2017) · Synthesis lectures on mechanical engineering · doi:10.1007/978-3-031-79573-2 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Smart wearable devices in cardiovascular care: Where we are and how to move forward
Bayoumy, K., Gaber, M., Elshafeey, A., Mhaimeed, O., Dineen, E. H., Marvel, F. A., Martin, S. S., Muse, E. D., Turakhia, M. P., Tarakji, K. G., et al. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00522-7 · Cited by 829 · see citing works
- Authors
- Bolanakis, D. E.
- Affiliations
- Hellenic Air Force Academy (GR)
- Corresponding author
- Bolanakis, Dimosthenis E.
- Venue
- IEEE Instrumentation & Measurement Magazine
- Published
- 2017-12
- Volume
- 20
- Issue
- 6
- Pages
- 30-55
- ISSN
- 1094-6969 (ISSN-L)
- OpenAlex
- W2774691805
- Cited by
- 13
- References
- 23
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 1 · 2019: 1 · 2018: 1
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Instrumentation & Measurement Magazine (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MEMS and NEMS Technologies
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Physical Sciences › Computer Science › Computer Networks and Communications › Sensor Technology and Measurement Systems
- Keywords
- barometric altimeter, barometric pressure sensor, MEMS sensors, industrial applications, medical applications, aerospace applications, consumer applications, inertial sensors, prototype platform
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
