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  1. Home
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  5. Smart Home with Biometric System Recognition
 
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Smart Home with Biometric System Recognition

Journal
Journal of Physics: Conference Series
ISSN
17426588
Date Issued
2020-06-17
Author(s)
Noh N.S.M.
Jaafar H.
Wan Azani Wan Mustafa
Universiti Malaysia Perlis
Syed Zulkarnain Syed Idrus
Universiti Malaysia Perlis
Mazelan A.H.
DOI
10.1088/1742-6596/1529/4/042020
Handle (URI)
https://hdl.handle.net/20.500.14170/5709
Abstract
In the last decade, smart homes have become applicable and widely developed where all the electronic devices and household appliances are controlled from a centralized control unit. However, the rise of misuses such as the security aspect and interoperability mechanism is proving them to be less reliable. Moreover, the traditional home automation system is complex, expensive and they are inconvenient for the aging population or disable persons. Besides, most smart home technologies forcing users to use their hands in order to control electronic devices. Therefore, the smart home with biometric system recognition is proposed to increase security, efficiency and decrease manual labor effort. This project used biometric of the human voice as an input command. The scope of this project is only focused on fan and lamp as an output of home appliances. The proposed system is divided into two main parts which are speech recognition (software development) and electrical home appliance control system (hardware development). In the speech recognition, the process contains two main modules which are feature extraction and pattern matching. Meanwhile, in hardware development, the microcontroller board is used to process the home appliance system such that the system can be operated automatically. It is expected that this project allows the user to conveniently control the home appliances by using voice. The experiment shows that the highest performance of the system achieves an accuracy of 83.25% with the number of k, training, and testing is 1, 20, and 40 respectively.
Subjects
  • biometric system | ha...

File(s)
Research repository notification.pdf (4.4 MB)
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Mar 5, 2026
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