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Model

TS-CAN

Temporal Shift Convolutional Attention Network

Code Cite
UnconfirmedCatalog paper date: 2020Source
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Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.

TS-CAN (Temporal Shift Convolutional Attention Network) estimates physiological signals from face video (NeurIPS 2020; arXiv:2006.03790). Open code ships in the UW rPPG-Toolbox.

Form factor
camera_rppg
Openness
Open
Code
github.com/ubicomplab/rPPG-Toolbox
Year
2020
Published
NeurIPS 2020

arXiv: 2006.03790

At a glance
Type
Task model
Modalities
Not reported
Form factor
Camera rPPG
Parameters
Not reported
Architecture
Not reported
Venue
Not reported
Year
2020
arXiv
2006.03790 (opens in a new tab)
DOI
Not reported
Code
Not reported
Weights
Not reported
Licence
Not reported
Caveats
Not reported
Datasets
Not reported
Added
Not reported
Updated
Oct 24, 2026

Abstract

Telehealth and remote health monitoring have become increasingly important during the SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on healthcare practices. These tools can help reduce the risk of exposing patients and medical staff to infection, make healthcare services more accessible, and allow providers to see more patients. However, objective measurement of vital signs is challenging without direct contact with a patient. We present a video-based and on-device optical cardiopulmonary vital sign measurement approach. It leverages a novel multi-task temporal shift convolutional attention network (MTTS-CAN) and enables real-time cardiovascular and respiratory measurements on mobile platforms. We evaluate our system on an Advanced RISC Machine (ARM) CPU and achieve state-of-the-art accuracy while running at over 150 frames per second which enables real-time applications. Systematic experimentation on large benchmark datasets reveals that our approach leads to substantial (20%-50%) reductions in error and generalizes well across datasets.

Verbatim fromarXiv· arXiv metadata (abstracts are released under CC0)

TS-CAN: ChatPPG research summary card

How it works

Inputs
TS-CAN
Outputs / tasks
Downstream tasks
Approach
rppg · model · tscan

Datasets

No public datasets linked yet.

Cite

APA

TS-CAN. (2020). arXiv. https://arxiv.org/abs/2006.03790

BibTeX

@misc{tscan2020tscan,
  title         = {{TS-CAN}},
  year          = {2020},
  eprint        = {2006.03790},
  archivePrefix = {arXiv}
}

Built from the hub record. Check it against the publisher before submitting.

History

  1. Record updated

Software: rPPG-Toolbox is listed in Wearable Signal Tools, with its licence, commercial use and last commit.

Same tasks, data and authors