The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring
Abstract
In this paper we present a wearable device for control of home automation systems via hand gestures. This solution has many advantages over traditional home automation interfaces in that it can be used by those with loss of vision, motor skills, and mobility. By combining other sources of context with the pendant we can reduce the number and complexity of gestures while maintaining functionality. As users input gestures, the system can also analyze their movements for pathological tremors. This information can then be used for medical diagnosis, therapy, and emergency services. Currently, the Gesture Pendant can recognize control gestures with an accuracy of 95% and user-defined gestures with an accuracy of 97%. It can detect tremors above 2 HZ within /spl plusmn/.1 Hz.
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
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Cited by
Heron, K. E., & Smyth, J. M. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x466063 · Cited by 1,438
Fails, J. A., & Olsen, D. R. (2003) · Proceedings of the 8th international conference on Intelligent user interfaces · doi:10.1145/604045.604056 · Cited by 633
Aware technologies for aging in place: understanding user needs and attitudes
Mynatt, E. D., Melenhorst, A.-S., Fisk, A.-D., & Rogers, W. A. (2004) · IEEE Pervasive Computing · doi:10.1109/mprv.2004.1316816 · Cited by 234
Paraskevoudis, K., Karayannis, P., & Koumoulos, E. P. (2020) · Processes · doi:10.3390/pr8111464 · Cited by 189
(2005) · ePrints Soton (University of Southampton) · Cited by 170
Metadata
- Authors
- Starner, T., Auxier, J., Ashbrook, D., & Gandy, M.
- Venue
- Digest of Papers. Fourth International Symposium on Wearable Computers
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-08
- Pages
- 87-94
- OpenAlex
- W2138988042
- Cited by
- 267
- References
- 1
- FWCI
- 11.74
- Type
- conference paper
- 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: The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring. https://app.cochat.ai/papers/10.1109/iswc.2000.888469
- The paper
- Starner, T., Auxier, J., Ashbrook, D., & Gandy, M. (2002). The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring. Digest of Papers. Fourth International Symposium on Wearable Computers. https://doi.org/10.1109/iswc.2000.888469
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.
