The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Antennas and propagation for on-body communication systems
Abstract
On-body communication channels are of increasing interest for a number of applications, such as medical-sensor networks, emergency-service workers, and personal communications. This paper describes investigations into channel characterization and antenna performance at 2.45 GHz. It is shown that significant channel fading occurs during normal activity, due primarily to the dynamic nature of the human body, but also due to multipath around the body and from scattering by the environment. This fading can be mitigated by the use of antenna diversity, and gains of up to 10 dB are obtained. Separation of the antenna's performance from the channel characteristics is difficult, but results show that for many channels, an antenna polarized normal to the body's surface gives the best path gain. Simulation and modeling present many challenges, particularly in terms of the problem's scale, and the need for accurate modeling of the body and its movement.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fundamentals of Wearable Computers and Augmented Reality
(2015) · doi:10.1201/b18703 · Cited by 437
Cited by
A Survey on Wireless Body Area Networks: Technologies and Design Challenges
Cavallari, R., Martelli, F., Rosini, R., Buratti, C., & Verdone, R. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2014.012214.00007 · Cited by 710
Metadata
- Authors
- Hall, P. S., Hao, Y., Nechayev, Y. I., Alomainy, A., Constantinou, C. C., Parini, C., Kamarudin, M. R., Salim, T. Z., Hee, D. T. M., Dubrovka, R., Owadally, A. S., Song, W., Serra, A., Nepa, P., Gallo, M., & Bozzetti, M.
- Venue
- IEEE Antennas and Propagation Magazine
- Published
- 2007-06
- Volume
- 49
- Issue
- 3
- Pages
- 41-58
- ISSN
- 1045-9243 (ISSN-L)
- OpenAlex
- W2104258403
- Cited by
- 464
- References
- 1
- FWCI
- 16.69
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Antennas and propagation for on-body communication systems. https://app.cochat.ai/papers/10.1109/map.2007.4293935
- The paper
- Hall, P. S., Hao, Y., Nechayev, Y. I., Alomainy, A., Constantinou, C. C., Parini, C., Kamarudin, M. R., Salim, T. Z., Hee, D. T. M., Dubrovka, R., Owadally, A. S., Song, W., Serra, A., Nepa, P., Gallo, M., & Bozzetti, M. (2007). Antennas and propagation for on-body communication systems. IEEE Antennas and Propagation Magazine. https://doi.org/10.1109/map.2007.4293935
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.