Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization.

Journal: Frontiers in big data
Published Date: Jan 23, 2025

Abstract

INTRODUCTION: Ambient acoustic detection and localization play a vital role in identifying events and their origins from acoustic data. This study aimed to establish a comprehensive framework for classifying activities in home environments to detect emergency events and transmit emergency signals. Localization enhances the detection of the acoustic event's location, thereby improving the effectiveness of emergency services, situational awareness, and response times.

Authors

  • Ahsan Shabbir
    Department of Creative Technologies, Faculty of Computing and Artificial Intelligence, Air University, Islamabad, Pakistan.
  • Abdul Haleem Butt
    Department of Creative Technologies, Faculty of Computing and Artificial Intelligence, Air University, Islamabad, Pakistan.
  • Taha Khan
    Research and Development Department, Detectivio AB, Göteborg, Sweden.
  • Lorenzo Chiari
    Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi, " University of Bologna, Bologna, Italy.
  • Ahmad Almadhor
    Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.
  • Vincent Karovic
    Department of Information Management and Business Systems, Faculty of Management, Comenius University Bratislava, Bratislava, Slovakia.

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