PaperarXiv:2606.21115
MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems
ICRA 2026
Open codeLicence: Responsible AI Source Code License v1.1
TL;DR
Choi and Lee fuse RGB and near-infrared face video for in-vehicle remote PPG with cross-spectral linear modulation and a state-space model they call MS-Mamba. The paper evaluates the method on the publicly available MR-NIRP Car dataset and on MS-Drive, collected from 50 participants while driving. Code is at github.com/ziiho08/MS-rPPG. ICRA 2026, pp. 10371–10378, DOI 10.1109/ICRA57385.2026.11695785.
- Authors: Jiho Choi, Sang Jun Lee (Jeonbuk National University)
- ICRA 2026, pp. 10371–10378; DOI 10.1109/ICRA57385.2026.11695785
- Code: https://github.com/ziiho08/MS-rPPG
- Datasets named in the paper: publicly available MR-NIRP Car; MS-Drive collected from 50 participants while driving
Results on ChatPPG leaderboards
All leaderboardsNo results from this paper on ChatPPG leaderboards yet. Browse the leaderboards.
Tasks & signals
Signals
Keywords
Models
How it works
Cite this paper
APA
Choi, J., & Lee, S. J. (2026). MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems. ICRA 2026. https://doi.org/10.1109/ICRA57385.2026.11695785
BibTeX
@inproceedings{choi2026msrppg,
title = {{MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems}},
author = {Choi, Jiho and Lee, Sang Jun},
year = {2026},
booktitle = {ICRA 2026},
doi = {10.1109/ICRA57385.2026.11695785},
eprint = {2606.21115},
archivePrefix = {arXiv}
}Built from the hub record. Check it against the publisher before submitting.
Added to the ChatPPG research hub