skip to main content
10.1145/3650400.3650605acmotherconferencesArticle/Chapter ViewAbstractPublication PageseitceConference Proceedingsconference-collections
research-article

Simulation research and design of user behavior prediction for smart home Internet of Things

Published: 17 April 2024 Publication History

Abstract

Scientific and technological innovation to build a new development pattern, promote the development of high-quality technology, in today's rapid change, people's demand for life is getting higher and higher.At this stage, the technology adopted by different smart home enterprises is similar, and the products of different brands are incompatible with each other, the cost is high, and the control method is single, which is far from meeting the growing needs of people.This topic will focus on the development bottleneck of smart home, using STM32 microcontroller as the main controller, integrating various sensors to collect terminal data, processing data based on speech recognition to realize user emotion recognition and behavior prediction, and then transmitting data through wireless communication technology. Finally, HTML5+JavaScript language for the development basis through the web side display.The system synthetically uses a variety of sensors and combines intelligent algorithms to predict behavior to meet the real needs of users, which can realize further research on smart home systems and provide technical reference for the development of this field.

References

[1]
Su Jiankai, Wang Yixin. Analysis of Internet of things technology and its application in smart home [J]. Science and Technology Innovation, 2021 (25):89-90.
[2]
M. I S, Pedro B, André S, The Interplay between Chronotype and Emotion Regulation in the Recognition of Facial Expressions of Emotion [J]. Behavioral Sciences, 2022, 13(1).
[3]
Ftoon S A, Rehab D, Mahmoud A A. A multi-modal deep learning system for Arabic emotion recognition [J]. International Journal of Speech Technology, 2022, 26(1).
[4]
Paolo T, Salvatore D. Modeling multiple vehicle interaction constraints for behavior prediction of vehicles on highways [J]. Computers and Electrical Engineering, 2022, 98.
[5]
WANG H Y. Design and implementation of smart home monitoring system based on WiFi under OneNET cloud Platform [D]. Inner Mongolia University, 2021.
[6]
Mingyu Fu, Ting Liu, Feijie Yan, Shan Huang, Xinyue Fan. Multi-functional curtain based on Internet of things [J]. Internet of Things Technology, 2021, 11(06):74-75.
[7]
Tian Jian, Gao Lulu. Using data monitoring algorithms to physiological indicators in motion based on Internet of Things in smart city [J]. Sustainable Cities and Society, 2021, 67.
[8]
Altaf Ayesha, Abbas Haider, Iqbal Faiza, Khan Malik Muhammad Zaki Murtaza, Rauf Abdul, Kanwal Tehsin. Mitigating service-oriented attacks using context-based trust for smart cities in IoT networks [J]. Journal of Systems Architecture, 2021, 115.
[9]
Zhang D, Chen S. Research on Public Art in Smart Community Management[P]. 2023 7th International Conference on Education Technology, Management and Humanities Science, 2023.

Index Terms

  1. Simulation research and design of user behavior prediction for smart home Internet of Things

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    EITCE '23: Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
    October 2023
    1809 pages
    ISBN:9798400708305
    DOI:10.1145/3650400
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 April 2024

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    EITCE 2023

    Acceptance Rates

    Overall Acceptance Rate 508 of 972 submissions, 52%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 23
      Total Downloads
    • Downloads (Last 12 months)23
    • Downloads (Last 6 weeks)8
    Reflects downloads up to 03 Mar 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media