IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Acoustic Presence Detection in a Smart Home Environment

Acoustic Presence Detection in a Smart Home Environment
View Sample PDF
Author(s): Andrej Zgank (University of Maribor, Slovenia)and Damjan Vlaj (University of Maribor, Slovenia)
Copyright: 2021
Pages: 16
Source title: Encyclopedia of Information Science and Technology, Fifth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-7998-3479-3.ch011

Purchase

View Acoustic Presence Detection in a Smart Home Environment on the publisher's website for pricing and purchasing information.

Abstract

The chapter presents acoustic presence detection, which can be applied to support the smart home system with information about the presence of humans in the environment. The acoustic presence detection is based on digital signal processing and machine learning methods, with the objective to classify the captured audio signal into the corresponding class. An analysis of different audio capturing devices for a smart home environment from the perspective of acoustic presence detection will be carried out. The presence detection task consists of voice activity detection, feature extraction, and classification. The extension of acoustic presence detection with additional information about the user's characteristics is proposed. This information can be used to optimize the smart home human-computer interface with personalization and customization functionalities.

Related Content

Yair Wiseman. © 2021. 11 pages.
Mário Pereira Véstias. © 2021. 15 pages.
Mahfuzulhoq Chowdhury, Martin Maier. © 2021. 15 pages.
Gen'ichi Yasuda. © 2021. 12 pages.
Alba J. Jerónimo, María P. Barrera, Manuel F. Caro, Adán A. Gómez. © 2021. 19 pages.
Gregor Donaj, Mirjam Sepesy Maučec. © 2021. 14 pages.
Udit Singhania, B. K. Tripathy. © 2021. 11 pages.
Body Bottom