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Automatically Understanding Human Behavior for IoT Applications with Optimized Human-in-the-Loop Control

  • Himavanth Reddy Pallapu
  • , Gnaneswar Villuri
  • , Alex Doboli
  • , Simona Doboli
  • Stony Brook University
  • Hofstra University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Modern IoT applications often address humans-in-the-loop (HiL) situations, which require that the automated control steps effectively and non-intrusively combine with the human decisions. This paper proposes a method to automatically characterize aspects of team behavior to improve HiL control in IoT applications. Experiments present the use of the method to optimize the distribution of the energy harvested through solar panels to teams based on the effectiveness of their behavior.

Original languageEnglish
Title of host publicationProceedings - 2024 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350351927
DOIs
StatePublished - 2024
Event20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024 - Volos, Greece
Duration: Jul 2 2024Jul 5 2024

Publication series

NameProceedings - 2024 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024

Conference

Conference20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024
Country/TerritoryGreece
CityVolos
Period07/2/2407/5/24

Keywords

  • behavior modeling
  • humans-in-the-loop
  • IoT
  • power distribution
  • teams

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