Human localization based on inertial sensors and fingerprints in the Industrial Internet of Things
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Yuanguo Bi | Meikang Qiu | Wenjian Wang | Kai Lin | Mohammad Mehedi Hassan | Yuanguo Bi | Meikang Qiu | M. Hassan | Kai Lin | Wenjian Wang
[1] Paramvir Bahl,et al. RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).
[2] Robert Harle,et al. Pedestrian localisation for indoor environments , 2008, UbiComp.
[3] Victor C. M. Leung,et al. Hybrid Geographic Routing for Flexible Energy—Delay Tradeoff , 2009, IEEE Transactions on Vehicular Technology.
[4] Injong Rhee,et al. Towards Mobile Phone Localization without War-Driving , 2010, 2010 Proceedings IEEE INFOCOM.
[5] Eduardo Freire Nakamura,et al. Bluepass: An indoor Bluetooth-based localization system for mobile applications , 2010, The IEEE symposium on Computers and Communications.
[6] Mohamed Ibrahim,et al. CellSense: A Probabilistic RSSI-Based GSM Positioning System , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.
[7] Kuo-Shen Chen,et al. IR indoor localization and wireless transmission for motion control in smart building applications based on Wiimote technology , 2010, Proceedings of SICE Annual Conference 2010.
[8] Min Chen,et al. Itinerary Planning for Energy-Efficient Agent Communications in Wireless Sensor Networks , 2011, IEEE Transactions on Vehicular Technology.
[9] Daqiang Zhang,et al. Searching in Internet of Things: Vision and Challenges , 2011, 2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications.
[10] Xin Jin,et al. Where searching will go in Internet of Things? , 2011, 2011 IFIP Wireless Days (WD).
[11] Hojung Cha,et al. Smartphone-based pedestrian tracking in indoor corridor environments , 2011, Personal and Ubiquitous Computing.
[12] Feng Zhao,et al. A reliable and accurate indoor localization method using phone inertial sensors , 2012, UbiComp.
[13] Anshul Rai,et al. Zee: zero-effort crowdsourcing for indoor localization , 2012, Mobicom '12.
[14] Moustafa Youssef,et al. UPTIME: Ubiquitous pedestrian tracking using mobile phones , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).
[15] Mohamed Ibrahim,et al. CellSense: An Accurate Energy-Efficient GSM Positioning System , 2011, IEEE Transactions on Vehicular Technology.
[16] Patrick Seeling,et al. Localization using bluetooth device names , 2012, MobiHoc '12.
[17] Komwut Wipusitwarakun,et al. Indoor localization improvement via adaptive RSS fingerprinting database , 2013, The International Conference on Information Networking 2013 (ICOIN).
[18] Yunhao Liu,et al. WILL: Wireless indoor localization without site survey , 2012, 2012 Proceedings IEEE INFOCOM.
[19] Radu Stoleru,et al. Toward Accurate Mobile Sensor Network Localization in Noisy Environments , 2013, IEEE Transactions on Mobile Computing.
[20] Hakan Koyuncu,et al. Improved Fingerprint Localization by Using Static and Dynamic Segmentation , 2014, 2014 International Conference on Computational Science and Computational Intelligence.
[21] Victor C. M. Leung,et al. CAP: community activity prediction based on big data analysis , 2014, IEEE Network.
[22] Min Chen,et al. A Survey on Internet of Things From Industrial Market Perspective , 2015, IEEE Access.
[23] Andrew G. Dempster,et al. Indoor Location Fingerprinting Using FM Radio Signals , 2014, IEEE Transactions on Broadcasting.
[24] Athanasios V. Vasilakos,et al. Security of the Internet of Things: perspectives and challenges , 2014, Wireless Networks.
[25] Zhao Shi-we. Research on Integrated Infrared and Ultrasound Location Technology , 2014 .
[26] Patrick Robertson,et al. Pedestrian Simultaneous Localization and Mapping in Multistory Buildings Using Inertial Sensors , 2014, IEEE Transactions on Intelligent Transportation Systems.
[27] Ming-Hui Jin,et al. Homogeneous Features Utilization to Address the Device Heterogeneity Problem in Fingerprint Localization , 2014, IEEE Sensors Journal.
[28] Min Chen,et al. NDNC-BAN: Supporting rich media healthcare services via named data networking in cloud-assisted wireless body area networks , 2014, Inf. Sci..
[29] Jiming Chen,et al. G-Loc: Indoor localization leveraging gradient-based fingerprint map , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[30] Victor C. M. Leung,et al. EMC: Emotion-aware mobile cloud computing in 5G , 2015, IEEE Network.
[31] Fabiano Hessel,et al. RFID indoor localization based on Doppler effect , 2015, Sixteenth International Symposium on Quality Electronic Design.
[32] Jerker Delsing,et al. Towards industrial Internet of Things: An efficient and interoperable communication framework , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).
[33] Claudio Pastrone,et al. Industrial application development exploiting IoT vision and model driven programming , 2015, 2015 18th International Conference on Intelligence in Next Generation Networks.
[34] Min Chen,et al. AIWAC: affective interaction through wearable computing and cloud technology , 2015, IEEE Wireless Communications.
[35] Min Chen,et al. On the computation offloading at ad hoc cloudlet: architecture and service modes , 2015, IEEE Communications Magazine.
[36] Min Chen,et al. Software-defined internet of things for smart urban sensing , 2015, IEEE Communications Magazine.
[37] An indoor localization system based on 3D magnetic fingerprints for smart buildings , 2015, The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).
[38] Jiafu Wan,et al. Implementing Smart Factory of Industrie 4.0: An Outlook , 2016, Int. J. Distributed Sens. Networks.
[39] Meikang Qiu,et al. Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data , 2017, IEEE Systems Journal.