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Mental workload assessment leaderboard

WESAD: accuracy

2 reported results for mental workload assessment on WESAD, ranked by accuracy. Top reported: Cross-Modal Correlation Fusion for End-to-End EC (0.9034). Every…

This page ranks every result ChatPPG has recorded for mental workload assessment on WESAD, measured by Accuracy (higher is better). Each number is copied from the publication cited in its row, and ranks apply only within this dataset and metric.

Mental workload / stress: WESAD, Accuracy. Reported rankings; evaluation protocols may differ.
RankMethod & evaluationAccuracy↑ Higher is better
1Cross-Modal Correlation Fusion for End-to-End EC

Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress Classification

Evaluation details

WESAD subject-independent 5-fold CV; mean Accuracy 90.34%; Stress Recall 94.07%

Reported as of: 2026-10-02

0.9034
2TF-MambaNet
Evaluation details

Binary stress, 8 s, frozen features (paper Table 2); accuracy — not comparable to AUROC rows; PaPaGei 0.80 / Chronos 0.77 / NormWear 0.77

0.81

Rows are ranked only within this task × dataset × metric. Protocols can differ; read each method's evaluation details before comparing. Latest reported row: 2026-10-02.

About the dataset

WESAD: Wearable Stress and Affect Detection

Subjects
15
Signals
ppg, ecg, accel, skin-temp, eda, resp
Licence
Scientific, non-commercial use with credit to the owners

Sources on this board

Related leaderboards

Other metrics on WESAD

Data and submissions

Download every leaderboard as JSON or CSV. Missing a published result? Email hello@chatppg.com with the paper link and the exact table it comes from.

Cite this

Cite the page URL and the date you accessed it. Please also cite the original publications listed above.

APA

ChatPPG. (2026). WESAD accuracy leaderboard: mental workload assessment [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/mwl/wesad-accuracy

BibTeX
@misc{chatppg_mwl_wesad_accuracy,
  author       = {{ChatPPG}},
  title        = {{WESAD accuracy leaderboard: mental workload assessment}},
  year         = {2026},
  month        = oct,
  howpublished = {\url{https://chatppg.com/research/leaderboards/mwl/wesad-accuracy}},
  note         = {ChatPPG Research Hub}
}
CITATION.cff
cff-version: 1.2.0
message: "If you use this resource, please cite it as below."
type: dataset
title: "WESAD accuracy leaderboard: mental workload assessment"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/mwl/wesad-accuracy"
date-released: "2026-10-16"