The DOI matches its Crossref record.
RF-IDraw: virtual touch screen in the air using RF signals
Open accessAbstract
Prior work in RF-based positioning has mainly focused on discovering the absolute location of an RF source, where state-of-the-art systems can achieve an accuracy on the order of tens of centimeters using a large number of antennas. However, many applications in gaming and gesture based interface see more benefits in knowing the detailed shape of a motion. Such trajectory tracing requires a resolution several fold higher than what existing RF-based positioning systems can offer.
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
Cited by
Capturing the human figure through a wall
Adib, F., Hsu, C.-Y., Mao, H., Katabi, D., & Durand, F. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818072 · Cited by 443
Self-citationToneTrack: Leveraging Frequency-Agile Radios for Time-Based Indoor Wireless Localization
Xiong, J., Sundaresan, K., & Jamieson, K. (2015) · Proceedings of the 21st Annual International Conference on Mobile Computing and Networking · doi:10.1145/2789168.2790125 · Cited by 331
RFID based real-time recognition of ongoing gesture with adversarial learning
Yu, Y., Wang, D., Zhao, R., & Zhang, Q. (2019) · Proceedings of the 17th Conference on Embedded Networked Sensor Systems · doi:10.1145/3356250.3360045 · Cited by 68
Zhang, T., Lan, Z., Xu, C., Li, Y., & Chen, Y. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3569482 · Cited by 58
XGest: Enabling Cross-Label Gesture Recognition with RF Signals
Zhang, Y., Yang, Z., Zhang, G., Wu, C., & Zhang, L. (2021) · ACM Transactions on Sensor Networks · doi:10.1145/3458750 · Cited by 29
Metadata
- Authors
- Wang, J., Vasisht, D., & Katabi, D.
- Venue
- Proceedings of the 2014 ACM conference on SIGCOMM
- Publisher
- ACM
- Published
- 2014-08-17
- Pages
- 235-246
- OpenAlex
- W2102159398
- Cited by
- 359
- References
- 0
- FWCI
- 43.48
- Type
- conference paper
- Language
- en
- Open access
- gold
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: RF-IDraw: virtual touch screen in the air using RF signals. https://app.cochat.ai/papers/10.1145/2619239.2626330
- The paper
- Wang, J., Vasisht, D., & Katabi, D. (2014). RF-IDraw: virtual touch screen in the air using RF signals. Proceedings of the 2014 ACM conference on SIGCOMM. https://doi.org/10.1145/2619239.2626330
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.
