The Strength Assistant Gloves Interaction Development for Female Employment by EMG Signal Visualization Image Analysis

Fangfei Liu, Zijian Sha, Yun Chen*

*Corresponding author for this work

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

Abstract

In recent years, the fertility accumulation effect has gradually disappeared, the fertility rate is low, and the number of women of childbearing age continues to decline. Therefore, it shows a social trend, that is, there is a shortage of male labor in the heavy labor industry, and more women begin to fill the gap. By investigating the behavior characteristics of workers in heavy manual labor, the human-computer interaction needs and application scenarios of female workers in the process of labor, this paper analyzes the current situation of female workers in heavy manual labor industry, and proposes to design a hand protection product through the strength assistance structure to improve the work interaction experience on the basis of the research. On the basis of human-machine theory, the design of this product takes into account the gender difference factors and the usage habits of relevant practitioners, etc., and plays a role in helping women to improve their work preparation and strengthen safety protection. It is a practical human-computer interaction assistance product, which promotes labor liberation in the intellectual age.

Original languageEnglish
Title of host publicationHCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings, Part I
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages264-272
Number of pages9
ISBN (Print)9783031359880
DOIs
Publication statusPublished - 2023
Event25th International Conference on Human-Computer Interaction , HCII 2023 - Copenhagen, Denmark
Duration: 23 Jul 202328 Jul 2023

Publication series

NameCommunications in Computer and Information Science
Volume1832 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference25th International Conference on Human-Computer Interaction , HCII 2023
Country/TerritoryDenmark
CityCopenhagen
Period23/07/2328/07/23

Keywords

  • Female employment
  • heavy manual labor
  • strength assistance

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