Wireless Home Automation System Using Zigbee

Topics: Speech recognition, Home automation, Speech processing Pages: 9 (2456 words) Published: September 8, 2013
International Journal of Scientific & Engineering Research Volume 3, Issue 8, August-2012 ISSN 2229-5518

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Wireless Home Automation System Using ZigBee

Y.Usha Devi 1, II M.Tech,
Nalanda institute of engg., and tech., Department of ECE, Affliated to JNTU Kakinada, email id:ushadevi.ece08@gmail.com. Abstract— Home Automation industry is growing rapidly; this is fuelled by provide supporting systems for the elderly and the disabled, especially those who live alone. Coupled with this, the world population is confirmed to be getting older. Home automation systems must comply with the household standards and convenience of usage. This paper details the overall design of a wireless home automation system (WHAS) which has been built and implemented. The automation centres on recognition of voice commands and uses low-power RF ZigBee wireless communication modules which are relatively cheap. The home automation system is intended to control all lights and electrical appliances in a home or office using voice commands. The system has been tested and verified. The verification tests included voice recognition response test, indoor ZigBee communication test. The tests involved a mix of 10 male and female subjects with different Indian languages. 7 different voice commands were sent by each person. Thus the test involved sending a total of 70 commands and 80.05% of these commands were recognised correctly. Keywords— Home automation, ZigBee transceivers, voice streaming, HM 2007, voice recognition.

Figure 1: uControl Home Security, Monitoring and Automation (SMA)[3].

I. INTRODUCTION The demography of the world population shows a trend that the elderly population world wide is increasing rapidly as a result of the increase of the average live expectancy of people [1]. Caring for and supporting this growing population is a concern for governments and nations around the globe [2]. Home automation is one of the major growing industries that can change the way people live. Some of these home automation systems target those seeking luxury and sophisticated home automation platforms; others target those with special needs like the elderly and the disabled. The aim of the reported Wireless Home Automation System (WHAS) is to provide those with special needs with a system that can respond to voice commands and control the on/off status of electrical devices, such as lamps, fans, television etc, in the home. The system should be reasonably cheap, easy to configure, and easy to run.

There have been several commercial and research projects on smart homes and voice recognition systems. Figure 1 shows an integrated platform for home security, monitoring and automation (SMA) from uControl [3]. The system is a 7-inch touch screen that can wirelessly be connected to security alarms and other home appliances. The home automation through this system requires holding and interacting with a large panel which constraints the physical movements of the user [4]. Another popular commercially available system for home automation is from Home Automated Living (HAL) [5]. HAL software taps the power of an existing PC to control the home. It provides speech command interface. A big advantage of this system is it can send commands all over the house using the existing highway of electrical wires inside the home’s walls. No new wires means HAL is easy and inexpensive to install. However, most of these products sold in the market are heavily priced and often require significant home make over. The rest of the paper is organised as follows: Section II provides a system overview. The hardware design is detailed in Section III while the software design is detailed in Section IV. The experimental results are discussed in Section V. The paper concludes by looking at the future research and development work required to make the system more versatile.

II. SYSTEM OVERVIEW
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References: [1] T. Birtley, (2010) Japan debates care for elderly. [Cited 21/09/2010]. Available: http://www.youtube.com/watch?v=C0UTqfigSec [2]. Population Division, DESA, United Nations. (2009). World Population Ageing: Annual report 2009. [29/07/2010]. Available: http://www.un.org/esa/population/publications/WPA2009/WPA2009 _W orkingPaper.pdf [3].(2010) uControl Home security system website. [Cited 2010 14th Oct]. Available: http://www.itechnews.net/2008/05/20/ucontrolhome- security-system/ [4]. R. Gadalla, “Voice Recognition System for Massey University Smarthouse,” M. Eng thesis, Massey University, Auckland, New Zealand, 2006. [5]. (2010) Home Automated Living website. [Cited 2010 14th Oct]. Available: http://www.homeautomatedliving.com/default.htm [6]. L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals, New Jersey, US: Prentice Hall Inc, 1978. [7]. “XBee-2.5-Manual,” ZigBee RF communication protocol. (2008). Minnetonka: Digi International Inc. [8]. B. Yukesekkaya, A. A. Kayalar, M. B. Tosun, M. K. Ozcan, and A. Z. Alkar, “A GSM, Internet and Speech Controlled WirelessInteractive Home Automation System,” IEEE Transactions on Consumer Electronics, vol. 52, pp. 837-843, August 2006. [9]. F. J. Owens, Signal Processing of Speech, New York, US: McGraw-Hill nc, 1993. [10]. Voice Recoder Refrence Design (AN 278), Silicon Laboratories, 2006. [11]. D. Brunelli, M. Maggiorotti, L. Benini, and F. L. Bellifemine, “Analysis of Audio Streaming Capapbility of Zigbee Networks,” in EWSN 2008, 2008, LNCS 4913, pp. 189-204.
Figure 10: Results of voice recognition experiments showing percentage of correct recognition for different ethnicity accent
Additional tests are being planned involving a bigger variety of commands
TABLE I: RESULTS OF VOICE COMMAND RECOGNITION TESTS PERCENTAGE OF COMMANDS CORRECTLY RECOGNISED
VI. CONCLUSIONS AND FUTURE WORK A home automation system based on voice recognition was built and implemented. The system is targetted at elderly and disabled people. The prototype developed can control electrical devices in a home or office. The system implements voice recognition unit using HM 2007. The system implements the wireless network using ZigBee RF modules for their efficiency and low power consumption. The preliminary test results are promising.
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