Pattern Recognition in Embedded Systems: An Overview
Pages 3 - 10
Abstract
Many Pattern Recognition tasks must be implemented with embedded systems, since interactions with humans and with the environment are among the most frequent functions they perform. Traditionally seen as an area of Artificial Intelligence AI that comes after the perception process, a classical PR application takes a set of physical measures obtained by sensors or communication subsystems and generates actions using actuators or provides information through the display or an I/Oï źport.
In this talk, some of the application domains, optimization techniques and important, tradeoffs associated to the computational issues and time constraints involved, along with open problems and solution methodologies, are presented.
References
[1]
Aaraj, N., Ravi, S., Raghunathan, A., Jha, N.K.: Architectures for efficient face authentication in embedded systems. In: DATE 2006: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 1---6. European Design and Automation Association, 3001 Leuven, Belgium, Belgium 2006
[2]
Kisacanin, B.: Examples of low-level computer vision on media processors. p. 135, June 2005
[3]
Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutor. 153, 1192---1209 2013
[4]
MacLean, W.J.: An evaluation of the suitability of FPGAs for embedded vision systems. In: CVPR 2005: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR 2005 - Workshops, p. 131. IEEE Computer Society, Washington 2005
[5]
Marwedel, P.: Embedded System Design: Embedded Systems Foundations of Cyber-Physical Systems. Embedded Systems. Springer, Netherlands 2010. https://books.google.es/books?id=EXboa4sXlRsC
[6]
Meyer-Baese, A., Schmid, V.: Pattern Recognition and Signal Analysis in Medical Imaging. Elsevier Science, New York 2014. https://books.google.es/books?id=dPSAAgAAQBAJ
[7]
Rosenfeld, A., Wechsler, H.: Pattern recognition: historical perspective and futuredirections. Int. J. Imaging Syst. Technol. 112, 101---116 2000. http://dx.doi.org/10.1002/1098-1098200011:2<101::AID-IMA1>3.0.CO;2-J
[8]
Sanz, J.: Advances in Machine Vision. Springer Series in Perception Engineering. Springer, New York 2012. https://books.google.es/books?id=lNTTBwAAQBAJ
[9]
Yu, F., Gregory, D.: Optical pattern recognition: architectures and techniques. Proc. IEEE 845, 733---752 1996
Index Terms
- Pattern Recognition in Embedded Systems: An Overview
Index terms have been assigned to the content through auto-classification.
Recommendations
Embedded systems codesign under artificial intelligence perspective: a review
Intelligent embedded systems (IES) and their distributed versions, represent a novel and promising generation of embedded systems. IES have the capacity of reasoning about their external environments and adapt their behaviour accordingly. Such systems are ...
Pattern Recognition with Embedded Systems Technology: A Survey
DEXA '09: Proceedings of the 2009 20th International Workshop on Database and Expert Systems ApplicationPattern Recognition (PR) tasks are natural candidatesfor embedded systems, since they usually interact with humans and other complex processes in the real world. Often regarded as the part of Artificial Intelligence (AI) closer to perception, a typical ...
Artificial Intelligence in China
The guest editors introduce the IEEE Intelligent Systems special issue on AI in China. This special issue intends to share recent research contributions and developments from the AI researchers in China.
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
September 2015
546 pages
ISBN:9783319228488
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 01 September 2015
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 13 Dec 2024