ABSTRACT
Associative models are Artificial Intelligence tools and have been used in many applications such as pattern recognition, classification, encryption, among others. In this paper we applied these models to trace a person in an indoor environment by the means of the power of a Wi-Fi signal. We deal with this problem as a classification task. We used a preprocessing for the data to improve the results. Our performance was 95.75%.
- Brena, R. F., García-Vázquez, J. P., C Galván-Tejada, Muñoz-Rodriguez. E., D., Vargas-Rosales, C., and Fangmeyer, Jr. J., 2017. Evolution of Indoor Positioning Technologies A Survey. Journal of Sensors, vol. 2017, Article ID 2630413, 1--21.Google ScholarCross Ref
- García, E. M. 2008. Técnicas de localización en redes inalámbricas de sensores. Universidad de Castilla-La Mancha, septiembre 2008.Web: https://www.researchgate.net/publication/228705728_Tecnicas_de_ Localizacion_en_Redes_Inalambricas_de_Sensores.Google Scholar
- GPS: The Global Positioning System. Gps accuracy. Web: The Global Positioning System: https://www.gps.gov/systems/gps/performance/ accuracy/.Google Scholar
- Descamps-Vila, L., Pérez-Navarro, A. and Conesa, J."Integración de un sistema de posicionamiento indoor en aplicaciones SIG para dispositivo móvil." In VII JORNADAS DE SIG LIBRE. Universitat de Girona.Google Scholar
- Rohra, J.G., Perumal, B., Narayanan, S.J., Thakur, P., Bhatt, R.B.. User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization and Gravitational Search Algorithm with Neural Networks. In: Deep K. et al. (eds) Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 546. Springer, Singapore.Google Scholar
- Niu, J., Wang, B., Shu, L., Duong, T. Q., and Chen. Zil, Y. 2015. An energy-efficient indoor localization system using zigbee radio to detect wifi fingerprints. IEEE Journal on Selected Areas in Communications, 33(7):1431--1442, July 2015.Google ScholarCross Ref
- He, F., Wu, C., Zhou, X., and Zhao, Y. 2017. Robust and fast similarity search for fingerprint calibrations-free indoor localization. In 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM), pages 320-- 327, Aug 2017.Google ScholarCross Ref
- Z Li., Braun, T. and Dimitrova, D. C. 2015. A passive wifi source localization system based on fine-grained power-based trilateration. In 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), pages 1--9, June 2015.Google Scholar
- Liu, X., Lu, B., Niu, J., Shu, L., and Chen, Y.2016. Hmf: Heatmap and wifi fingerprint- based indoor localization with building layout consideration. In 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), pages 324--331.Google Scholar
- Ferreira A, Yáñez-Márquez C, Aldape M, and López I. Evolutionary Approach to Feature Selection with Associative Models. Research in Computing Science 2014, 78: 111--122.Google Scholar
- Ritter GX, Sussner P and Diaz de León JL. 1998. Morphological Associative Memories. IEEE Transactions on Neural Networks 9(2); 281--293. Google ScholarDigital Library
- Cerón, S., Clasificador asociativo basado en conceptos lineales y no lineales, Centro de Investigación en Computación, Mexico, PhD Thesis. URL= http://tesis.ipn.mx/handle/123456789/26705Google Scholar
Index Terms
- Person Localization in an Indoor Environment with Artificial Intelligence
Recommendations
Artificial intelligence
AbstractArtificial intelligence (AI) is the Science and Engineering domain concerned with the theory and practice of developing systems that exhibit the characteristics we associate with intelligence in human behavior. Starting with a brief history of ...
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.
Advancing artificial intelligence research and dissemination through conference series: Benchmark, scientific impact and the MICAI experience
This article presents an overview, analysis and benchmark of the best-known artificial intelligence (AI) conferences, including the Mexican International Conference on Artificial Intelligence (MICAI) conference series, and describes how MICAI has ...
Comments