Voice Controlled Home Automation Design

Abstract

In recent years, in parallel with the advances in technology, home automation systems have started to offer more functions and been more sophisticated. Compared to the past, remotely controllable home automation systems have become much cheaper and are not luxurious anymore; hence more and more people nowadays use home automation systems to make their lives easier. Home automation systems especially play a key role for the elderly and disabled and offer convenient and flexible solutions for them. Since home automation systems allow the elderly and physically disabled to maintain their lives in a comfortable and secure environment, the aim of this study is to design a voice controlled home automation system. To design the proposed home automation system, firstly a prototype home has been built and then some devices have been placed in it. Then, by using a throat microphone, a set of voice commands has been defined in the voice recognition module. The designed home automation system works as follows. Basically the voice recognition module converts voice commands into digital signals, and then these digital signals are transmitted to the home automation system via a ZigBee-based communications module. The receiver of the ZigBee communications module receives the commands given by the transmitter and sends them to the microcontroller. Finally, the microcontroller analyzes the commands and performs the expected operations. Arduino Uno has been used as the microcontroller and EasyVR module has been used for voice recognition. The software of the home automation system has been developed in C using Arduino IDE.

Keywords

• Home automation system,Voice recognition,Microcontroller,EasyVR,Arduino

References

1. Arduino Uno Datasheet (2015, June, 15). Retrieved form http://arduino.cc/en/Main/ArduinoBoardUno. Bharambe, D.V. & Kodgire, S.P. (2015). PSoC based isolated speech recognition system for voice controlled appliances. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 4(11), 4270-4272. Bharambe, D. & Kodgire, S.P. (2016). Speech recognition system for voice controlled devices. International Journal of Latest Trends in Engineering and Technology 6(3), 455-459. Delebe, E. (2014). Projeler ile Arduino. İstanbul: Kodlab Yayın Dağ. EasyVR User Manual (2015, June, 15) Retrieved form http://www.veear.eu/files/easyvr_user_manual_3 .6.7.pdf. Kızılırmak, E. Y. (2012). ZigBee İle Endüstriyel Vinç Kontrolü. (Unpublished master dissertation). University of Hacettepe, Ankara, Turkey. Masica, K. (2007). Recommended practices guide for securing zigbee wireless networks in process control system environments. Retrieved from http://energy.gov/sites/prod/files/oeprod/DocumentsandMedia /Securing_ZigBee_Wireless_Networks.pdf. Öztaş, Ş., Belen, M. A., Kaya, İ., & Kaya, A. (2011). Zigbee teknolojisi kullanılarak kablosuz kafe otomasyon sistemi tasarımı. Symposium of Elektrik-Elektronik ve Bilgisayar, University of Fırat, Elazığ. Throat microphone two sensors datasheet (2016, June, 12) Retrieved from http://tr.aliexpress.com/item/Clear-Transmission-Throat-Microphone-Air-Tube-Headset-with-2-Sensors-for-Yaesu-Portable-Radio-FT-10R/32276708707.html#extend Xbee Pro63mw Datasheet (2016, June, 21). Retrieved form http://www.robotistan.com/xbee-pro-63mw-pcb-anten-seri-2b-xbp24-bz7pit-004. XBee-PRO ZigBee Product Datasheet (2016, June, 16). Retrieved form http://www.digi.com/pdf/ ds_xbee_zigbee.pdf.