Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones

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Cite
Zhou, Baoding, et al. “Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones”. IEEE Transactions on Human-Machine Systems, vol. 45, no. 5, 2015, pp. 562-74, https://doi.org/10.1109/thms.2014.2368092.
Zhou, B., Li, Q., Mao, Q., Tu, W., & Zhang, X. (2015). Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones. IEEE Transactions on Human-Machine Systems, 45(5), 562-574. https://doi.org/10.1109/thms.2014.2368092
Zhou B, Li Q, Mao Q, Tu W, Zhang X. Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones. IEEE Transactions on Human-Machine Systems. 2015;45(5):562-74.
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Refrences
Title Journal Journal Categories Citations Publication Date
Pedestrian dead reckoning: A basis for personal positioning 0
Ultra-wideband precision asset location system 0
Vtrack: Accurate, energy-aware road traffic delay estimation using mobile phones 0
A helmet-mounted pedestrian dead reckoning system 0
Indoor-outdoor activity recognition by a smartphone 0
Citations
Title Journal Journal Categories Citations Publication Date
Optimal fusion‐based localization method for tracking of smartphone user in tall complex buildings

 CAAI Transactions on Intelligence Technology
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  • Science: Science (General): Cybernetics: Information theory
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  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
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Citations Analysis
Category Category Repetition
Science: Science (General): Cybernetics: Information theory1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
The category Science: Science (General): Cybernetics: Information theory 1 is the most commonly referenced area in studies that cite this article.