Education, Science, Technology, Innovation and Life
Open Access
Sign In

Spatio-Temporal Constrained Trajectory Tracking for Emergency Care

Download as PDF

DOI: 10.23977/acss.2022.060704 | Downloads: 16 | Views: 578

Author(s)

Zhaoling Chu 1, Yong Shi 1, Yan Qu 1, Guiyang Bian 1

Affiliation(s)

1 School of Computer Information and Engineering, Changzhou Institute of Technology, Changzhou, China

Corresponding Author

Yong Shi

ABSTRACT

High-precision trajectory tracking facilitates high-quality medical care. In this paper, a trajectory tracking and alarm system constrained by time and space norms are designed based on the emergency scene. The location data are collected based on the UWB positioning platform, and the K-means clustering filter and TDOA solve the location. The horizontal positioning accuracy is less than 30cm. Furthermore, the rules of space and time were set up according to the requirements of admission, and the emergency patients were monitored through the statistical information of location, path, time, and so on, and the abnormal behaviours or abnormal areas were alerted. The simulation results show that the system can realize the basic functions of real-time viewing of the position, moving track, and alarm of emergency patients and can effectively meet the needs of hospital emergency patients' fine management service.

KEYWORDS

Trajectory Tracking, Spatio-Temporal, Constrained, Emergency Care, UWB

CITE THIS PAPER

Zhaoling Chu, Yong Shi, Yan Qu, Guiyang Bian, Spatio-Temporal Constrained Trajectory Tracking for Emergency Care. Advances in Computer, Signals and Systems (2022) Vol. 6: 24-32. DOI: http://dx.doi.org/10.23977/acss.2022.060704.

REFERENCES

[1] Wang, Z.H., Yang, Z.C. and Dong, T. (2017) A Review of Wearable Technologies for Elderly Care That Can Accurately Track Indoor Position, Recognize Physical Activities, and Monitor Vital Signs in Real Time. Sensors, 17(2), 341-376.
[2] Alnafessah, A., Alammar, M.A., Alhadhrami, S., Al-Salman, A.S. and Al-Khalifa, H.S. (2016) Developing an Ultra-Wideband Indoor Navigation System for Visually Impaired People. International Journal of Distributed Sensor Networks, 12(7), 15-25.
[3] Zwirello, L., Schipper, T., Harter, M. and Zwick, T. (2012) UWB Localization System for Indoor Applications: Concept, Realization and Analysis. Journal of Electrical & Computer Engineering,1-11.
[4] Feito, F.R., Torres, J.C. (1997) Inclusion test for general polyhedral. Computers and Graphics, 21(1), 23-30.
[5] Hormann, K., Agathos, A. (2001) The Point in Polygon Problem for Arbitrary Polygons. Computational Geometry: Theory and Applications, 20, 131-144.
[6] Wu, J., Zheng, K.P., Wang, X.C. (2003) A Method for Detecting Whether a Point is in A Polygon or Polyhedron. Small Microcomputer Systems,24 (12), 2200-2203.
[7] Wang, S., Liu,C., Xing,S.J. (2022) A Survey of K-Means Clustering Algorithms. Journal of East China Jiaotong University,39 (5), 119-126.
[8] Yan, G., Hou, H.W., Lou, Y.F., Fang, T.H., Wang, W.J. and Wu, C.(2019) High Precision Soft clock synchronization method based on TDOA system. Wireless Communications, 06, 185-198.
[9] Gao J.H., Guo, M., Chen, K. and Tu, D. (2020) Research on TDOA Location Technology Based on Reference Signal. The World of Digital Communications,07, 5-7.
[10] Yang, Z. (2019) TDOA/AOA Localization Algorithm Based on EKF Solves the TDOA Multi-Solution Problem. Industrial Control Computer, 32 (09), 104-106.

Downloads: 13415
Visits: 257988

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.