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Danger warning via fuzzy inference in an RFID-deployed environment

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Abstract

The population structure of some developed countries has been changed. Aged population with fewer kids is the main problem. To relieve the burden for caring elder people and kids at home, automatic mechanisms for homecare are needed. In this research, we focus on home safety with the elders and the kids. We aim at developing a RFID-based system that can detect the movement of the user at home. When the user approaches a dangerous location or a dangerous object, the system issues a warning to the caregiver to prevent possible dangerous situations. An active RFID tag is placed at each location and near each object. The user carries an RFID reader which detects the signal strengths of all tags and transmits them to the system in real time. The system issues a warning to the caregiver when the dangerous degree for a dangerous location/object is above the predefined level. A dangerous situation can be prevented if the caregiver watches out beforehand. The dangerous degree is determined through fuzzy inference on the user age and the signal strengths which reflect the distance of the user to a dangerous location/object. Fuzzy membership functions and fuzzy rules are defined in this system. A feedback mechanism is also designed to provide personalized services, which simply modifies the default fuzzy membership function of the corresponding location or object. Experimental results demonstrate that the system is promising in this application.

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Abbreviations

RFID:

Radio Frequency Identification

RSSI:

Received Signal Strength Indication

PDA:

Personal Digital Assistant

CF:

Compact Flash

AP:

Access Point

References

  • Cheng C-H, Chen J-S, Wang J-W (2007) Constructing new drug adoption rules in medical institution. In: Proc. 6th International Conference on Machine Learning and Cybernetics, vol. 2, pp 1359–1364

  • Corchado JM, Bajo J (2008) GerAmi: Improving healthcare delivery in geriatric residences. IEEE Intell Syst 23(2):19–25

    Article  MathSciNet  Google Scholar 

  • Ho L, Moh M, Walker Z, Hamada T, Su CF (2005) A prototype on RFID and sensor networks for elder healthcare: Progress report. In: Proc. 2005 ACM SIGCOMM Workshop on Experimental Approaches to Wireless Network Design and Analysis, pp 70–75

  • Koch J, Wettach J, Bloch E, Berns K (2007) Indoor localisation of humans, objects, and mobile robots with RFID infrastructure. In: Proc. 7th International Conference on Hybrid Intelligent Systems, pp 271–276

  • Lai C-L, Chien S-W, Chang L-H, Chen S-C, Fang K (2007) Enhancing medication safety and healthcare for inpatients using RFID. In: Proc. PICMET’07 Conference, pp 2783–2790

  • Morsi I, Elsherief Y, El Zawawi A (2009) A security system and employees performance evaluation using RFID sensors and fuzzy logic. In: Proc. Computation World 2009, pp 597–602

  • Negnevitsky M (2005) Artificial intelligence—A guide to intelligent system, 2nd edn, Addison Wesley

  • Poon KTC, Choy KL, Lau HCW (2008) A RFID-based location tracking scheme for inbound operations in warehouse environment. In: Proc. PICMET’08 Conference, pp 872–877

  • Seki H (2009) Fuzzy inference based non-daily behavior pattern detection for elderly people monitoring system. In: Proc. 31st Annual International Conference of the IEEE EMBS, pp 6187–6192

  • Sharma N, Youn JH, Shrestha N, Ali HH (2008) Direction finding signage system using RFID for healthcare applications. In: Proc. 2008 International Conference on BioMedical Engineering and Informatics 1, pp 900–904

  • Silva RDA, Goncalves PADS (2009) Enhancing the efficiency of active RFID-based indoor location systems. In: Proc. IEEE Wireless Communications and Networking Conference, pp 1–6

  • Tanaka S, Motoi K, Ikarashi A, Nogawa M, Higashi Y, Asanoi H, Yamakoshi KI (2007) Development of non-invasive and ambulatory physiological monitoring systems for ubiquitous health care. In: Proc. SICE 2007 Annual Conference, pp 311–315

  • Tesoriero R, Gallud JA, Lozano M, Penichet VMR (2008) Using active and passive RFID technology to support indoor location-aware systems. IEEE Trans Consumer Electron 54(2):578–583

    Article  Google Scholar 

  • Varshney U (2007) Pervasive healthcare and wireless health monitoring. Mobile Netw Appl 12(2–3):113–127

    Article  Google Scholar 

  • Wang T-C, Lee H-D, Cheng P-H (2009) Applying fuzzy TOPSIS approach for evaluating RFID system suppliers in healthcare industry, In: Nakamatsu K, Phillips-Wren G, Jian LC, Howlett RJ (eds) New advances in intelligent decision technologies, Springer, pp 519–526

  • Yamahara H, Soma T, Harada F, Takada H, Shimakawa H, Shimada Y (2008) Tagged world: an intelligent space providing services by interaction between a user and an environment. In: Proc. 2nd International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, pp 333–342

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taipei, 25137, Taiwan

    Hui-Huang Hsu, Bo-Kai Chen & Chi-Yi Lin

  2. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, 811-0295, Japan

    Leonard Barolli

  3. Department of Computers and Information Science, Seikei University, Tokyo, 180-8633, Japan

    Makoto Takizawa

Authors
  1. Hui-Huang Hsu
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  2. Bo-Kai Chen
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  3. Chi-Yi Lin
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  4. Leonard Barolli
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  5. Makoto Takizawa
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Correspondence to Hui-Huang Hsu.

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Hsu, HH., Chen, BK., Lin, CY. et al. Danger warning via fuzzy inference in an RFID-deployed environment. J Ambient Intell Human Comput 2, 285–292 (2011). https://doi.org/10.1007/s12652-011-0047-1

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  • DOI: https://doi.org/10.1007/s12652-011-0047-1

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