Papers › Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

6 Jun 2020NeurIPS 2020 12arXiv:2006.03790archive 2025-07-28

Xin Liu, Josh Fromm, Shwetak Patel, Daniel McDuff

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.

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xin71/MTTS-CAN officialmentioned on GitHubtfMIT report
buet94/non-Contact mentioned on GitHubtfMIT report
xliucs/MTTS-CAN mentioned on GitHubtfMIT report

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CAN xin71/MTTS-CAN/code/model.py official repository unverified MIT (permissive) · 5e5bdb364e642d70 · report
MT_CAN xin71/MTTS-CAN/code/model.py official repository unverified MIT (permissive) · 25437cf49e32cdbc · report
TSM_Cov2D xin71/MTTS-CAN/code/model.py official repository unverified MIT (permissive) · c9dce5ddd6127a4d · report
detrend xin71/MTTS-CAN/code/inference_preprocess.py official repository unverified MIT (permissive) · 9f063d3ca0da3fcd · report
get_nframe_video xin71/MTTS-CAN/code/pre_process.py official repository unverified MIT (permissive) · 78c50f6ccff6b241 · report
get_nframe_video_val xin71/MTTS-CAN/code/pre_process.py official repository unverified MIT (permissive) · 458a7fdb0e205e18 · report
preprocess_raw_video xin71/MTTS-CAN/code/inference_preprocess.py official repository unverified MIT (permissive) · f67cd52ce15699d9 · report
split_subj xin71/MTTS-CAN/code/pre_process.py official repository unverified MIT (permissive) · 043f5cee98e9150d · report

Tasks

Photoplethysmography (PPG) heart rate estimation

1 archive task tag without a task page not shown.

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Photoplethysmography (PPG) heart rate estimation MMSE-HR TS-CAN MAE 3.04 #2 of 6 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation MMSE-HR TS-CAN MAPE (%) 3.41% #2 of 6 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation MMSE-HR TS-CAN Pearson Correlation 0.89 #2 of 6 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation UBFC-rPPG TS-CAN RMSE 2.72 #8 of 8 Archive leaderboard report

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