Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A Framework for Emergency Rescue Request on Construction Site in XR

Authors
Lee, KisubSim, GyuriNam, HyeongilAhn, SungheePark, JungsikPark, Jong-Il
Issue Date
2023
Publisher
Springer Science and Business Media Deutschland GmbH
Keywords
Accident detection; Rescue request; XR literacy; XR user interface
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.14035 LNCS, pp.402 - 416
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
14035 LNCS
Start Page
402
End Page
416
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/31621
DOI
10.1007/978-3-031-34732-0_31
ISSN
0302-9743
Abstract
Human injuries at construction sites continue to be a persistent problem, which makes emergency rescue requests crucial in preventing further harm. Recently, XR technology, which facilitates seamless communication among users, has been employed in construction sites, and there has been an effort to prevent accidents and improve work performance. However, there is a lack of research on methods for interacting with users who have low XR literacy and handling the awareness of users during sudden accidents on construction sites. The paper presents a framework based on XR that addresses emergency rescue requests resulting from falls and collisions at construction sites, taking into account the XR technology literacy of users and users’ consciousness. If the user is conscious, an emergency rescue request can be initiated through hand movements or gaze, taking into account the user’s physical limitations. If the user is unconscious, an emergency request will be triggered by detecting a distress signal through the user’s head movements. The proposed framework has been implemented in a simple scenario and evaluated both qualitatively and quantitatively. The results showed the effectiveness of the framework and it is expected to serve as a foundation for further research on safety in various accidents at construction sites using XR technology. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Design And Art > School of Design and Media > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ahn, Sung Hee photo

Ahn, Sung Hee
College of Design and Arts (School of Design Convergence)
Read more

Altmetrics

Total Views & Downloads

BROWSE