Conference item
Seeing red: PPG biometrics using smartphone cameras
- Alternative title:
- Conference paper
- Abstract:
- In this paper, we propose a system that enables photoplethysmogram (PPG)-based authentication by using a smartphone camera. PPG signals are obtained by recording a video from the camera as users are resting their finger on top of the camera lens. The signals can be extracted based on subtle changes in the video that are due to changes in the light reflection properties of the skin as the blood flows through the finger. We collect a dataset of PPG measurements from a set of 15 users over the course of 6-11 sessions per user using an iPhone X for the measurements. We design an authentication pipeline that leverages the uniqueness of each individual’s cardiovascular system, identifying a set of distinctive features from each heartbeat. We conduct a set of experiments to evaluate the recognition performance of the PPG biometric trait, including cross-session scenarios which have been disregarded in previous work. We found that when aggregating sufficient samples for the decision we achieve an EER as low as 8%, but that the performance greatly decreases in the cross-session scenario, with an average EER of 20%.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, 586.6KB, Terms of use)
-
- Publisher copy:
- 10.1109/CVPRW50498.2020.00417
Authors
- Publisher:
- Institute of Electrical and Electronics Engineers
- Host title:
- 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Pages:
- 3565-3574
- Publication date:
- 2020-07-28
- Acceptance date:
- 2020-04-13
- Event title:
- 15th IEEE Computer Society Workshop on Biometrics 2020
- Event location:
- Seattle, Washington
- Event website:
- https://www.vislab.ucr.edu/Biometrics2020/index.php
- Event start date:
- 2020-06-19
- Event end date:
- 2020-06-19
- DOI:
- EISSN:
-
2160-7516
- ISSN:
-
2160-7508
- EISBN:
- 9781728193601
- ISBN:
- 9781728193618
- Language:
-
English
- Keywords:
- Pubs id:
-
1100283
- Local pid:
-
pubs:1100283
- Deposit date:
-
2020-04-15
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2020
- Rights statement:
- © 2020 IEEE.
- Notes:
- This conference paper was presented at the 15th IEEE Computer Society Workshop on Biometrics 2020, June 19, 2020, Seattle, Washington, held in conjunction with CVPR 2020. This is the accepted manuscript version of the paper. The final version is available online from Institute of Electrical and Electronics Engineers at: https://doi.org/10.1109/CVPRW50498.2020.00417
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