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A Room-Level Indoor Location System for Smart Houses

Seon-Woo Lee1*
  • 1 Hallym University, Department of Electronic Engineering, Republic of Korea

It is well known that tracking and identifying people in an environment is an important issue in ambient intelligent systems [1]. Many indoor location-aware systems have some limitations, for example beacon-based methods require that the users need to carry tags or mobile devices. In contrast, the other methods such as Smart Floor [2] and our previous work [3] can provide two capabilities, user identification and user tracking without requirement of wearing any sort of devices or tags.
This paper presents a room-level indoor location system for smart houses which can detect location transition such as entrance and exit to a room and also identify the user who passed the room, simultaneously. As shown in Fig. 1, we developed a wireless sensor node which has two pyroelectric infrared (PIR) sensors and an ultrasonic sensor, as well as a 2.4 GHz radio frequency wireless transceiver. The proposed sensor node was designed to have longer operation lifetime and the same two sensing capabilities of the previous prototype in [3]. The proposed user identification method is to discriminate a person based on his/her stature by using an ultrasonic sensor. The detection idea of entering/exiting behavior is based on order of triggering of two PIR sensors. The topology of the developed wireless sensor network system is simple star structure in which each sensor node is connected to one sink node directly as shown in Fig. 2. We evaluated the proposed sensing system with a set of experiments for three subjects in a model house. The experimental result shows that the averaged recognition rate of user identification is 81.3% for three persons, and perfect entering/exiting behavior detection performance.

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References

1. D. J. Cook, J. C. Augusto, V. R. Jakkula, “Ambient intelligence: Technologies, applications, and opportunities”, Journal of Pervasive and Mobile Computing, vol. 5, pp. 277-298, 2009. [2] R. J. Orr and G. D. Abowd, “The Smart Floor: A Mechanism for Natural User Identification

2. R. J. Orr and G. D. Abowd, “The Smart Floor: A Mechanism for Natural User Identification and Tracking”, Proceedings of the 2000 Conference on Human Factors in Computing Systems (CHI 2000), The Hague, Netherlands, April 1-6, 2000.

3. Seon-Woo Lee, “User Identification and Entrance/Exit Detection system for Smart Home”, Journal of Institute of Control, Robotics, and Systems, Vol. 14, No. 3, pp.248-253, March 2008. (in Korean)

Conference: 2nd International Workshop on Sensor Networks and Ambient Intelligence In conjunction with PDCAT'09, Hiroshima, Japan, 8 Dec - 11 Dec, 2009.

Presentation Type: Poster Presentation

Topic: Poster Presentations

Citation: Lee S (2009). A Room-Level Indoor Location System for Smart Houses. Front. Neuroinform. Conference Abstract: 2nd International Workshop on Sensor Networks and Ambient Intelligence In conjunction with PDCAT'09. doi: 10.3389/conf.neuro.11.2009.16.007

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Received: 24 Nov 2009; Published Online: 24 Nov 2009.

* Correspondence: Seon-Woo Lee, Hallym University, Department of Electronic Engineering, Chuncheon, Republic of Korea, senu@hallym.ac.kr