• Jul 12, 2018 News!The submission for 2019 8th International Conference on Information and Electronics Engineering (ICIEE 2019) is officially open now !   [Click]
  • Dec 11, 2018 News!IJIEE Vol. 8, No. 4 issue has been published online!   [Click]
  • Aug 31, 2018 News!IJIEE Vol. 8, No. 3 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3719
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2016 Vol.6(3): 180-184 ISSN: 2010-3719
DOI: 10.18178/IJIEE.2016.6.3.620

Design of Digital Blowing Detector

Hessa Al-Junaid, Amina Mohamed Saif, and Fatima Yacoop AlWazzan
Abstract—In this paper, a Digital Blowing Detection (DBD) algorithm is developed to identify human’s blow sound signal despite variation in sounds signals. Also this project aims to advance the use of the blowing as input mechanism in controlling application. The algorithm was developed by investigating the sound signals characteristics using digital processing techniques and then utilizes the acquired results to detect the blow sound signal. The proposed method used is an elimination method based on the unique energy levels distribution of voice and unvoice signals. A microphone and MATLAB environment were used to develop the algorithm (capture, record and process microphone input signals). The results of the experiments indicate, that the DBD algorithm successfully eliminate non-blow signals and detecting the blow signals with a 75.7%. This paper demonstrated that human blow is a suitable input to devices which operate based on ON-OFF command, also when a rapid response is required, this include a mouse click with no additional hardware is required for the implementation.

Index Terms—Human computer interaction, non-speech sound detection, non-verbal vocal input, blow detection, assistive technologies.

The authors are with the Department of Computer Engineering, College of Information Technology, University of Bahrain, Kingdom of Bahrain (e-mail: haljunaid@uob.edu.bh).


Cite:Hessa Al-Junaid, Amina Mohamed Saif, and Fatima Yacoop AlWazzan, "Design of Digital Blowing Detector," International Journal of Information and Electronics Engineering vol. 6, no. 3, pp. 180-184, 2016.

Copyright © 2008-2018. International Journal of Information and Electronics Engineering. All rights reserved.
E-mail: ijiee@ejournal.net