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

Post time Yesterday 02:58

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

Authors : Tharindu Ekanayake; Constantino Álvarez Casado; Nhi Nguyen; Marta Sobocinski; Sari Pramila-Savukoski; Xiaoting Wu; Kristina Mikkonen; Miguel Bordallo López

Published date: 2025-06-16

DOI: 10.1007/978-3-031-95911-0_31

Pages: 442-456

Book/Proceedings: Image Analysis, SCIA 2025

Series: Lecture Notes in Computer Science (LNCS), Volume 15725

PDF link: https://link.springer.com/conten ... -031-95911-0_31.pdf

Article link: https://doi.org/10.1007/978-3-031-95911-0_31

Article Source : Springer Nature

Remark: Conference proceedings chapter from the 23rd Scandinavian Conference on Image Analysis (SCIA 2025).

Post time Yesterday 15:51

: Waiting for confirmation
If the PDF has not been accepted after 72 hours, the system will automatically adopt it.

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

Same Category

Latest Reply

Announcement

Daily Top Contributors

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

Same Category

Latest Reply

Announcement

Daily Top Contributors

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