Abstract
Indoor positioning is a big issue to trace or navigate for a moving object. Methods using Wi-Fi have been widely studied even though Wi-Fi has a lot of problems. UWB is an alternative indoor positioning method. But indoor positioning using UWB has lots of problems to solve. At an indoor environment like hospitals, many pathways like a maze is an important target for positioning. For monitoring an active moving object in some period, continuous tracking is needed. A cell system is proposed to overcome limitation of UWB modules on continuous indoor position tracking during some period. The proposed system can be used for analyzing staff workload at hospitals and for real time monitoring. Measuring nursing activities is critical steps to understand relationship between nursing practices, workload and patient safety.
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Hong, J., Kim, K., Kim, C.: Comparison of indoor positioning system using Wi-Fi and UWB. In: Nguyen, N.T., Hoang, D.H., Hong, T.-P., Pham, H., Trawiński, B. (eds.) ACIIDS 2018. LNCS (LNAI), vol. 10751, pp. 623–632. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75417-8_58
Hong, J., Kim, S., Lee, J., Kim, K., Kim, C.: Indoor position monitoring system using UWB module. In: 2018 International Conference on Applied Mechanics, Mechatronics and Materials (2018)
Di Benedetto, M.-G.: UWB communication systems: a comprehensive over-view, vol. 5. Hindawi Publishing Corporation, New York (2006)
Dong, Q., Dargie, W.: Evaluation of the reliability of RSSI for indoor localization. In: 2012 International Conference on Wireless Communications in Unusual and Confined Areas (ICWCUCA), pp. 1–6. IEEE (2012)
Zhou, Y., Law, C.L., Chin, F.: Construction of local anchor map for indoor position measurement system. IEEE Trans. Instrum. Measur. 59(7), 1986–1988 (2010)
Kim, K., Hong, J., Kim, C.: An alarm and response tracking system for the patient-centric perspective. J. Med. Imaging Health Inform. 8, 190–195 (2018)
Ingram, S.J., Harmer, D., Quinlan, M.: UltraWideBand indoor positioning systems and their use in emergencies. In: Position Location and Navigation Symposium, PLANS 2004, pp. 706–715. IEEE (2004)
Saksvik-Lehouillier, I., et al.: Individual, situational and lifestyle factors related to shift work tolerance among nurses who are new to and experienced in night work. J. Adv. Nurs. 69(5), 1136–1146 (2013)
Duffield, C., et al.: Nursing staffing, nursing workload, the work environment and patient outcomes. Appl. Nurs. Res. 24, 244–255 (2011)
Myny, D., et al.: Determining a set of measurable and relevant factors affecting nursing workload in the acute care hospital setting: a cross-sectional study. Int. J. Nurs. Stud. 49, 427–436 (2012)
OnkarPathak, P.P., Palkar, R., Tawari, M.: Wi-Fi indoor positioning system based on RSSI measurements from Wi-Fi access points –a trilateration approach. Int. J. Sci. Eng. Res. 5(4), 1234–1238 (2014)
Vasisht, D., Kumar, S., Katabi, D.: Decimeter-level localization with a single WiFi access point. In: 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2016) (2016)
Kong, I.-Y., Kim, H.-J.: Experiments and its analysis on the Identification of indoor location by visible light communication using LED lights. J. Korea Inst. Inf. Commun. Eng. 15(5), 1045–1052 (2011)
Bluetooth Indoor Localization System: Gunter FISCHER, Burkhart DIETRICH, Frank WINKLER
Acknowledgement
This research was supported by The Leading Human Resource Training Program of Regional Neo industry through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and future Planning, and the BK21 Plus Program funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea (NRF).
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Hong, J., Kim, S., Kim, K., Kim, C. (2019). Multi-cell Based UWB Indoor Positioning System. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11432. Springer, Cham. https://doi.org/10.1007/978-3-030-14802-7_47
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DOI: https://doi.org/10.1007/978-3-030-14802-7_47
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