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Resident Identification in Smart Home by Voice Biometrics

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Future Data and Security Engineering (FDSE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11251))

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Abstract

In smart home environments, it is highly useful to know who is performing what actions. This knowledge allows the system to make intelligent decisions and control the end devices based on the current resident. However, this is extremely challenging to take the personalized action in the multi-resident situation without individuals identification. This research work introduces the use of voice biometrics as a means to identify individuals. Which especially suitable for the system that uses speech as the command to control smart devices. The results of this research will provide the knowledge base for residents behavior learning and prediction.

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Author information

Authors and Affiliations

  1. Faculty of Computer Engineering, University of Information Technology in VNUHCM, Ho Chi Minh City, Vietnam

    Minh-Son Nguyen

  2. School of Computer Science and Engineering, International University in VNUHCM, Ho Chi Minh City, Vietnam

    Tu-Lanh Vo

Authors
  1. Minh-Son Nguyen
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  2. Tu-Lanh Vo
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Corresponding authors

Correspondence to Minh-Son Nguyen or Tu-Lanh Vo .

Editor information

Editors and Affiliations

  1. Ho Chi Minh City University of Technology, Ho Chi Minh, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Johannes Kepler University of Linz, Linz, Austria

    Roland Wagner

  4. Ho Chi Minh City University of Technology, Ho Chi Minh, Vietnam

    Nam Thoai

  5. Hosei University, Tokyo, Japan

    Makoto Takizawa

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Nguyen, MS., Vo, TL. (2018). Resident Identification in Smart Home by Voice Biometrics. In: Dang, T., Küng, J., Wagner, R., Thoai, N., Takizawa, M. (eds) Future Data and Security Engineering. FDSE 2018. Lecture Notes in Computer Science(), vol 11251. Springer, Cham. https://doi.org/10.1007/978-3-030-03192-3_33

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  • DOI: https://doi.org/10.1007/978-3-030-03192-3_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03191-6

  • Online ISBN: 978-3-030-03192-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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