Journal of Applied Science and Engineering

Published by Tamkang University Press

ESCI jase impact factor scopus logo open access rate of Scopus journal

Design and Implementation of an Interactive System Based on Wireless Sensor Technologies

Jui-Fa Chen, Ming-Hsien Liand Hsin-I Yeh

Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.

Received: May 21, 2013
Accepted: June 6, 2013
Publication Date: December 1, 2013

上傳圖片

Smart life scenario of the interactive application.

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation:  BibTeX | http://dx.doi.org/10.6180/jase.2013.16.4.09  

Download PDF

Sensor technologies have been widely applied in many applications. However, few applications integrate different sensors together for providing better intelligence aiming to improve the interaction between human and machines. This paper proposes an interactive system which integrates a variety of sensors including ultrasonic and sound sensors to collect the human behaviors as its inputs. Based on these inputs, the system provides audio response to interact with people. In addition, the environmental information, such as temperature, humidity and luminosity, are also integrated in the proposed system to reflect the environmental changes. To verify the efficiency of the proposed system, the system is implemented in real test bed and conducted some experiments. The experimental results show that the proposed system has good performance in terms of the real-time response time.

Keywords: Embedded System; Interactive System; Wireless Sensor Networks; TinyOS

  1. [1] Akyildiz, I. F., Su, W., Sankarasubramaniam, Y. and Cayirci, E., “Wireless Sensor Networks: A Survey,” Computer Networks, Vol. 38, No. 4, pp. 393-422 (2002). doi: 10.1016/S1389-1286(01)00302-4
  2. [2] Hill, J. and Culler, D., “Mica: A Wireless Platform for Deeply Embedded Networks,” IEEE Micro, Vol. 22, No. 6, pp. 12-24 (2002). doi: 10.1109/MM.2002.1134340
  3. [3] Polastre, J., Szewczyk, R. and Culler, D., “Telos: Enabling Ultra-Low Power Wireless Research,” International Symposium on Information Processing in Sensor Networks (IPSN), pp. 364-369 (2005). doi: 10.1109/IPSN.2005.1440950
  4. [4] Nachman, L., Kling, R., Adler, R., Huang, J. and Hummel, V., “The Intel mote Platform: A Bluetooth*-Based Sensor Network for Industrial Monitoring,” International Symposium on Information Processing in Sensor Networks (IPSN), pp. 437-442 (2005). doi: 10.1109/IPSN.2005.1440968
  5. [5] Adler, R., Flanigan, M., Huang, J., et al., “Demo Abstract: Intel Mote 2: An Advanced Platform for Demanding Sensor Network Applications,” ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. (2005).
  6. [6] Octopus Series Family, http://www.wsnc.ntu.edu.tw/.
  7. [7] Han, D. M. and Lim, J. H., “Design and Implementation of Smart Home Energy Management Systems Based on ZigBee,” IEEE Transactions on Consumer Electronics, Vol. 56, No. 3, pp. 1417-1425 (2010). doi: 10.1109/TCE.2010.5606278
  8. [8] Byun, J. and Park, S., “Development of a Self-Adapting Intelligent System for Building Energy Saving and Context-Aware Smart Services,” IEEE Transactions on Consumer Electronics, Vol. 57, No. 1, pp. 90-98 (2011). doi: 10.1109/TCE.2011.5735486
  9. [9] Huang, Y. M., Hsieh, M. Y., Chao, H. C., Hung, S. H. and Park, J. H., “Pervasive, Secure Access to a Hierarchical Sensor-Based Healthcare Monitoring Architecture in Wireless Heterogeneous Networks,” IEEE Journal on Selected Areas in Communications, Vol. 27, No. 4, pp. 400-411 (2009). doi: 10.1109/JSAC.2009.090505
  10. [10] L’ opez, G., Custodio, V. and Moreno, J. I., “LOBIN: e-Textile and Wireless-Sensor-Network-Based Platform for Healthcare Monitoring in Future Hospital Environments,” IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 6, pp. 1446-1458 (2010). doi: 10.1109/TITB.2010.2058812
  11. [11] Buragohain, C., Agrawal, D. and Suri, S., “Distributed Navigation Algorithm for Sensor Networks,” IEEE International Conference on Computer Communications (INFOCOM), pp. 1-10 (2006). doi: 10.1109/INFOCOM.2006.191
  12. [12] Li, M., Liu, Y., Wang, J. and Yang, Z., “Sensor Network Navigation without Locations,” IEEE International Conference on Computer Communications (INFOCOM), pp. 2419-2427 (2009). doi: 10.1109/INFCOM.2009.5062169
  13. [13] Casey, K., Lim, A. and Dozier, G., “A Sensor Network Architecture for Tsunami Detection and Response,” ACM International Journal of Distributed Sensor Networks, Vol. 4, No. 1, pp. 28-43 (2008). doi: 10.1080/15501320701774675
  14. [14] VLSI Solution, VS1000, http://www.vlsi.fi/en/home.html.
  15. [15] BeagleBoard.org, BeagleBoard-xM, beagleboard.org/.
  16. [16] Levis, P. and Gay, D., TinyOS Programming, Cambridge University Press, New York, NY, USA (2009). doi: 10.1017/CBO9780511626609
  17. [17] SENSIRION Corporation, SHT1x/SHT7x Humidity & Temperature Sensor, http://www.sensirion.com/.