Two-Dimensional Inductance Plane Sensor for Smart Home Door Lock

  • Wen-Shan Lin
  • Chao-Ting Chu
  • Chian C. HoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1036)


This paper proposes two-dimensional inductance plane sensor for smart home door lock. Traditional inductance plane sensor adopts electronic circuit coil to detect one-dimensional distance position of the metal object composed of push-button switches, gear-tooth counting, and flow meters. Besides, the proposed inductance plane sensor has the advantages of lower power consumption and cheaper circuit cost. Technically, two-dimensional positioning coordinate estimation method is proposed to obtain the object’s location and is integrated into the wearable device for unlocking smart home door.



This work was financially supported by the “Intelligent Recognition Industry Service Center” from The Featured Areas Research Center Program within the framework of Higher Education Sprout Project by Ministry of Education (MOE) in Taiwan.


  1. 1.
    Usman, M., Muthukkumarasamy, V., Wu, X.W.: Mobile agent-based cross-layer anomaly detection in smart home sensor networks using fuzzy logic. IEEE Trans. Consum. Electron. 61(2), 197–205 (2015)CrossRefGoogle Scholar
  2. 2.
    Liu, L., Liu, Y., Wang, L., Zomaya, A., Hu, S.: Economical and balanced energy usage in the smart home infrastructure: a tutorial and new results. IEEE Trans. Emerg. Top. Comput. 3(4), 556–570 (2015)CrossRefGoogle Scholar
  3. 3.
    Semnani, S.H., Basir, O.A.: Semi-flocking algorithm for motion control of mobile sensors in large-scale surveillance systems. IEEE Trans. Cybern. 45(1), 129–137 (2015)CrossRefGoogle Scholar
  4. 4.
    Li, M., Lin, H.J.: Design and implementation of smart home control systems based on wireless sensor networks and power line communications. IEEE Trans. Ind. Electron. 62(7), 4430–4442 (2015)CrossRefGoogle Scholar
  5. 5.
    Zeng, T., Lu, Y., Liu, Y., Yang, H., Bai, Y., Hu, P., Li, Z., Zhang, Z., Tan, J.: A Capacitive sensor for the measurement of departure from the vertical movement. IEEE Trans. Instrum. Meas. 65(2), 458–466 (2016)CrossRefGoogle Scholar
  6. 6.
    Mantenuto, P., De Marcellis, A., Ferri, G.: Novel modified de-sauty autobalancing bridge-based analog interfaces for wide-range capacitive sensor applications. IEEE Sens. J. 14(5), 1664–1672 (2014)CrossRefGoogle Scholar
  7. 7.
    Philip, N., George, B.: Design and analysis of a dual-slope inductance-to-digital converter for differential reluctance sensors. IEEE Trans. Instrum. Meas. 63(5), 1364–1371 (2014)CrossRefGoogle Scholar
  8. 8.
    Mandal, N., Kumar, B., Sarkar, R., Bera, S.C.: Design of a flow transmitter using an improved inductance bridge network and rotameter as sensor. IEEE Trans. Instrum. Meas. 63(12), 3127–3136 (2014)CrossRefGoogle Scholar
  9. 9.
    Moustafa, K.A.: What is the distance between objects in a data set: a brief review of distance and similarity measures for data analysis. IEEE Pulse 7(2), 1364–1371 (2016)Google Scholar
  10. 10.
    Goel, S., Lohani, B.: A motion correction technique for laser scanning of moving objects. IEEE Geosci. Remote Sens. Lett. 11(1), 225–228 (2014)CrossRefGoogle Scholar
  11. 11.
    Wang, Y., Yang, X., Zhao, Y., Liu, Y., Cuthbert, L.: Bluetooth positioning using RSSI and triangulation methods. IEEE Consum. Commun. Netw. Conf. 11(1), 837–842 (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Graduate School of Vocation and Technological EducationNational Yunlin University of Science and TechnologyDouliouTaiwan
  2. 2.Department of Electrical EngineeringNational Yunlin University of Science and TechnologyDouliouTaiwan
  3. 3.Internet of Things LaboratoryChunghwa Telecom LaboratoriesTaoyuan CityTaiwan

Personalised recommendations