Activity Recognition and Semantic Description for Indoor Mobile Localization
AbstractAs a result of the rapid development of smartphone-based indoor localization technology, location-based services in indoor spaces have become a topic of interest. However, to date, the rich data resulting from indoor localization and navigation applications have not been fully exploited, which is significant for trajectory correction and advanced indoor map information extraction. In this paper, an integrated location acquisition method utilizing activity recognition and semantic information extraction is proposed for indoor mobile localization. The location acquisition method combines pedestrian dead reckoning (PDR), human activity recognition (HAR) and landmarks to acquire accurate indoor localization information. Considering the problem of initial position determination, a hidden Markov model (HMM) is utilized to infer the user’s initial position. To provide an improved service for further applications, the landmarks are further assigned semantic descriptions by detecting the user’s activities. The experiments conducted in this study confirm that a high degree of accuracy for a user’s indoor location can be obtained. Furthermore, the semantic information of a user’s trajectories can be extracted, which is extremely useful for further research into indoor location applications. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Guo, S.; Xiong, H.; Zheng, X.; Zhou, Y. Activity Recognition and Semantic Description for Indoor Mobile Localization. Sensors 2017, 17, 649.
Guo S, Xiong H, Zheng X, Zhou Y. Activity Recognition and Semantic Description for Indoor Mobile Localization. Sensors. 2017; 17(3):649.Chicago/Turabian Style
Guo, Sheng; Xiong, Hanjiang; Zheng, Xianwei; Zhou, Yan. 2017. "Activity Recognition and Semantic Description for Indoor Mobile Localization." Sensors 17, no. 3: 649.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.