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Issue No.04 - Oct.-Dec. (2013 vol.12)
pp: 72-79
Paolo Barsocchi , Information Science and Technology Institute, Consiglio Nazionale delle Ricerche (ISTI/CNR)
Stefano Chessa , University of Pisa
Francesco Furfari , Information Science and Technology Institute, Consiglio Nazionale delle Ricerche (ISTI/CNR)
Francesco Potorti , Information Science and Technology Institute, Consiglio Nazionale delle Ricerche (ISTI/CNR)
ABSTRACT
Evaluation of ambient assisted living (AAL) systems is particularly challenging due to the complexity of such systems and the variety of solutions adopted and services offered. Yet analyzing and comparing AAL solutions is paramount for assessing research results in this area. Evaluating AAL Systems through Competitive Benchmarking (EvAAL) is a recently established international competition that aims to address this problem, letting benchmarking and comparison methodologies of AAL systems emerge from experience. Here, the authors describes the first EvAAL competition, which was devoted to localization and tracking. They also review the proposed evaluation criteria, benchmarks, and results. All evaluation data is freely available from the EvAAL website.
INDEX TERMS
Ambient networks, Benchmark testing, Complexity theory, Ambient intelligence, Tracking,competitions, AAL, ambient assisted living, AmI, ambient intelligence, indoor localization, tracking, benchmarking, pervasive computing
CITATION
Paolo Barsocchi, Stefano Chessa, Francesco Furfari, Francesco Potorti, "Evaluating Ambient Assisted Living Solutions: The Localization Competition", IEEE Pervasive Computing, vol.12, no. 4, pp. 72-79, Oct.-Dec. 2013, doi:10.1109/MPRV.2013.23
REFERENCES
1. Ambient Assisted Living Roadmap, The European Ambient Assisted Living Innovation Alliance, 2009; www.aaliance.eu/public/oldstuff/documents/ aaliance-roadmapaaliance-aal-roadmap.pdf .
2. K. Ducatel et al., Scenarios for Ambient Intelligence in 2010, IST Advisory Group, tech. report, Feb. 2001.
3. K. Connelly et al., “Evaluating Pervasive and Ubiquitous Systems,” IEEE Pervasive Computing, vol. 7, no. 3, 2008, pp. 85-88.
4. P. Barsocchi et al., “Automatic Virtual Calibration of Range-Based Indoor Localization Systems,” Wireless Communications and Mobile Computing, vol. 12, no. 17, 2012, pp. 1546-1557.
5. Proc. 2010 Int’l Conf. Indoor Positioning and Indoor Navigation (IPIN 10), R. Mautz, M. Kunz, and H. Ingensand eds., IEEE, 2010; doi: 10.1109/IPIN.2010.5648185.
6. “Evaluating AAL Systems Through Competitive Benchmarking—, International Competitions and Final Workshop, EvAAL 2012,” Comm. Computer and Information Science, S. Chessa and S. Knauth eds., vol. 362, Springer, 2013.
7. “Evaluating AAL Systems Through Competitive Benchmarking—, International Competitions and Final Workshop, EvAAL 2013,” Comm. Computer and Information Science, J.A. Botía et al., eds., vol. 386, Springer, 2013.
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