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Human Activity Recognition Using Spectrograms of Binary Motion Sensor Data

  • Nima Seyedtalebi
  • , Simone Silvestri
  • University of Kentucky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages377-383
Number of pages7
ISBN (Electronic)9798350369441
DOIs
StatePublished - 2024
Externally publishedYes
Event20th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024 - Abu Dhabi, United Arab Emirates
Duration: Apr 29 2024May 1 2024

Publication series

NameProceedings - 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024

Conference

Conference20th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period4/29/245/1/24

ASJC Scopus Subject Areas

  • Modeling and Simulation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Control and Optimization

Keywords

  • Human Activity Recognition
  • Internet of Things
  • Short-Time Fourier Transform
  • Smart Home
  • Spectrogram

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