Sound-Based Control System Used in Home Automation

  • K. Mohanaprasad
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 490)


Technological advancements have led to humans using their senses of sight, touch, and speech for various applications, control, and security. Voice control is the most powerful tool as it renders man the power to limitless applications. However, not only do the characteristics of the sound produced change variably across individuals, the characteristics of the same sound produced by one individual on repetition may also vary. Thus, there is the need for a system that can work upon any kind of sound and give the desired output for the user. The purpose of this project is to develop an audio-based application control system which uses speech, claps, snaps or any combination of the three, as inputs. This form of voice control enables users with any amputation or physical disability like blindness or deafness to perform tasks, like switching a fan on/off or sending an emergency text for help, with ease. For this project, we have developed two algorithms on MATLAB that help in detecting peaks in the input audio signal. These peaks help us to arrive at a decision as to which appliance or device is to be controlled. The decision is then sent to an AT89S52, 8051 microcontroller that is connected to a relay module. Thus, multiple appliances like air conditioner, television, telephone, light bulbs can be controlled using voice.


  1. 1.
    Hamed B (2012) Design & implementation of smart house control using LabVIEW. Int J Soft Comput Eng (IJSCE) 1(6):98–105 Google Scholar
  2. 2.
    Thakur DS, Sharma A (2013) Voice recognition wireless home automation system based on Zigbee. IOSR J Electron Commun Eng (IOSR-JECE) 6(1):65–74CrossRefGoogle Scholar
  3. 3.
    Devi YU (2012) Wireless home automation system using Zigbee. Int J Sci Eng Res 3:1–5 Google Scholar
  4. 4.
    Puviarasi R, Ramalingam M, Chinnavan E (2013) Low cost self-assistive voice controlled technology for disabled people. Int J Mod Eng Res (IJMER) 3:2133–2138Google Scholar
  5. 5.
    Simpson RC, Levine SP (2002) Voice control of a powered wheelchair. IEEE Trans Neural Syst Rehabil Eng 10(2):122–125CrossRefGoogle Scholar
  6. 6.
    Laisa CP, Almeida NS, Correa AGD, Lopes RD, Zuffo MK (2013) Accessible display design to control home area networks. IEEE Trans Consum Electron 59(2):422–427CrossRefGoogle Scholar
  7. 7.
    Gnanasekar AK, Jayavelu P, Nagarajan V (2012) Speech recognition based wireless automation of home loads with fault identification. In: IEEE international conference on communications and signal processing (ICCSP), vol 3. pp 128–132Google Scholar
  8. 8.
    Hawley MS, Cunningham SP, Green PD, Enderby P, Palmer R, Sehgal S, O’Neill P (2013) A voice-input voice-output communication aid for people with severe speech impairment. IEEE Trans Neural Syst Rehabil Eng 21(1):23–31CrossRefGoogle Scholar
  9. 9.
    Baig F, Beg S, Khan MF (2013) Zigbee based home appliances controlling through spoken commands using handheld devices. Int J Smart Home 7(1):19–26Google Scholar
  10. 10.
    Jeyasree T, Gayathri I, Kamin Uttamambigai SP (2013) Implementation of wireless automation of home loads based on microsoft SDK. Int J Sci Technol 2(5):402–404Google Scholar
  11. 11.
    Anamul Haque SM, Kamruzzaman SM, Ashraful Islam M (2006) A system for smart-home control of appliances based on timer and speech interaction. In: Proceedings of the 4th international conference on electrical engineering & 2nd annual paper meet, vol 2. Jan 2006, pp 128–131Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.SENSE, VIT UniversityChennaiIndia

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