Mental workload assessment leaderboard

WESAD: AUROC

Name: WESAD AUROC leaderboard: mental workload assessment
Creator: ChatPPG

7 reported results for mental workload assessment on WESAD, ranked by AUROC. Top reported: Cross-Modal Correlation Fusion for End-to-End EC (0.9729). Every row…

This page ranks every result ChatPPG has recorded for mental workload assessment on WESAD, measured by Area under ROC (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, Area under ROC. Reported rankings; evaluation protocols may differ.
Rank	Method & evaluation	Area under ROC↑ Higher is better
1	Cross-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; dual ECG+PPG encoders + cross-modal correlation fusion; paper AUC-ROC 97.29% Reported as of: 2026-10-02	0.9729
2	Pulse-PPG Evaluation details Binary stress; paper non-stress definition Weights: true (MIT)	0.9687
3	Thapa wrist-PPG features Thapa wrist-PPG features (LR, all features; Stage 2 exploratory) Evaluation details LOSO pooled AUC, BVP 64 Hz 60 s windows, stress from 9 subjects; post hoc; interval-only 0.911–0.933; RF 0.972 transductive z-scoring (not ranked) Weights: n/a (no code)	0.965
4	TEX-MEX 0.56M TEX-MEX 0.56M (linear probe) Evaluation details Binary stress, subject-level 5-fold CV × 15 seeds (arXiv 2610.19557 Table 4); same-paper Pulse-PPG 0.9388 / AnyPPG 0.9520 — different protocol from Pulse-PPG paper row Weights: false (promised)	0.9630
5	Quality-aware PPG+ACC Quality-aware PPG+ACC (Zenodo 22858828) Evaluation details LOSO 15 subj, 60-s windows, baseline vs stress; low-tier venue; selective prediction improves accepted-window F1	0.956
6	Calibrated photoplethysmography-derived heart ra Calibrated photoplethysmography-derived heart rate variability approximates electrocardiographic gold-standard performance for stress-state classification Evaluation details binary stress; classical ML on HRV features; PPG features linearly calibrated to ECG space (uncalibrated PPG 0.79; ECG 0.85); 15 subjects Reported as of: 2026-10-05	0.85
7	PaPaGei-S PaPaGei-S (re-eval) Evaluation details Under Pulse-PPG protocol Weights: true (BSD-3)	0.8043

Rows are ranked only within this task × dataset × metric. Protocols can differ; read each method's evaluation details before comparing. Latest reported row: 2026-10-05.

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 AUROC leaderboard: mental workload assessment [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/mwl/wesad-auroc

BibTeX

@misc{chatppg_mwl_wesad_auroc,
  author       = {{ChatPPG}},
  title        = {{WESAD AUROC leaderboard: mental workload assessment}},
  year         = {2026},
  month        = oct,
  howpublished = {\url{https://chatppg.com/research/leaderboards/mwl/wesad-auroc}},
  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 AUROC leaderboard: mental workload assessment"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/mwl/wesad-auroc"
date-released: "2026-10-16"