The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Adding generic contextual capabilities to wearable computers
Abstract
Context-awareness has an increasingly important role to play in the development of wearable computing systems. In order to better define this role we have identified four generic contextual capabilities: sensing, adaptation, resource discovery, and augmentation. A prototype application has been constructed to explore how some of these capabilities could be deployed in a wearable system designed to aid an ecologist's observations of giraffe in a Kenyan game reserve. However, despite the benefits of context-awareness demonstrated in this prototype, widespread innovation of these capabilities is currently stifled by the difficulty in obtaining the contextual data. To remedy this situation the Contextual Information Service (CIS) is introduced. Installed on the user's wearable computer, the CIS provides a common point of access for clients to obtain, manipulate and model contextual information independently of the underlying plethora of data formats and sensor interface mechanisms.
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Cites
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Context-Aware Computing Applications
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Context-aware applications: from the laboratory to the marketplace
Brown, P. J., Bovey, J. D., & Chen, X. (1997) · IEEE Personal Communications · doi:10.1109/98.626984 · Cited by 751
Situated information spaces and spatially aware palmtop computers
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Enhanced Reality Fieldwork: the Context Aware Archaeological Assistant
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Cited by
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861
“Global market for sensors is expected to increase to $91.5 billion by 2016, at a compound annual growth rate of 7.8%.”
BackgroundInfluentialThere is more to context than location
Schmidt, A., Beigl, M., & Gellersen, H.-W. (1999) · Computers & Graphics · doi:10.1016/s0097-8493(99)00120-x · Cited by 1,083
Data Quality in Internet of Things: A state-of-the-art survey
Karkouch, A., Mousannif, H., Al Moatassime, H., & Noel, T. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.08.002 · Cited by 378
Metadata
- Authors
- Pascoe, J.
- Venue
- Digest of Papers. Second International Symposium on Wearable Computers (Cat. No.98EX215)
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-27
- Pages
- 92-99
- OpenAlex
- W2539910769
- Cited by
- 499
- References
- 11
- FWCI
- 24.53
- 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.
