Evaluating the Accuracy and Reliability of Camera-Based Physiological and Motion Signal Extraction Techniques in Virtual Reality Training Environments

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform

Authors of the publication

Number of authors
8
Authors
Ekanayake, Tharindu; Álvarez Casado, Constantino; Nguyen, Nhi; Sobocinski, Marta; Pramila-Savukoski, Sari; Wu, Xiaoting; Mikkonen, Kristina; Bordallo López, Miguel

Publication channel information

Title of host publication
Image Analysis : 23rd Scandinavian Conference, SCIA 2025, Reykjavik, Iceland, June 23–25, 2025, Proceedings, Part I
Editors of host publication
Petersen, J.; Dahl, V.A.
ISBN (print)
978-3-031-95910-3
ISBN (electronic)
978-3-031-95911-0
Name of conference
Scandinavian Conference on Image Analysis
Title of journal/series
Lecture notes in computer science
ISSN (print)
0302-9743
ISSN (electronic)
1611-3349
ISSN (linking)
0302-9743
Publisher
Springer
Publication forum ID
62555
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Journal/series volume number
15725 LNCS
Page numbers
442-456
DOI
10.1007/978-3-031-95911-0_31
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences, 217 Medical engineering
Keywords
Contact-based sensors; Motion tracking; Remote photoplethysmography; Video-based physiological monitoring; Virtual reality

Funding information

Funding information in the publication
The research was supported by University of Oulu, the 6G Flagship (369116), Profi5 HiDyn programme (326291), and Profi7 Hybrid intelligence program (352788), funded by the Research Council of Finland.
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-

Infrastructure information

Infrastructure information in the publication
The authors wish to acknowledge CSC-IT Center for Science, Finland, for computational resources and LeaF Research Infrastructure, University of Oulu, Finland, for data collection support.

Source database ID

WoS ID
WOS:001553875500031
Scopus ID
2-s2.0-105009777734