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.
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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
Technological Innovations Enabling Automatic, Context-Sensitive Ecological Momentary Assessment
Intille, S. S. (2007) · The Science of Real-Time Data Capture · doi:10.1093/oso/9780195178715.003.0016 · Cited by 72
Potential Intrusiveness of Aware Home Technology: Perceptions of Older Adults
Melenhorst, A.-S., Fisk, A. D., Mynatt, E. D., & Rogers, W. A. (2004) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120404800209 · Cited by 52
Gesture-Based Applications for Elderly People
Chen, W. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-39330-3_20 · Cited by 34
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
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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.
