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Emotion recognition (valence/arousal) leaderboard

WESAD: macro-F1 (3-class)

3 reported results for emotion recognition (valence/arousal) on WESAD (3-class), ranked by macro-F1. Top reported: Random Forest, wrist physio (0.6633). Every…

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  1. Leaderboard added with 3 results

From the hub's dated sync history: new results as they are added, and SOTA stars as they are awarded or move.

This page ranks every result ChatPPG has recorded for emotion recognition (valence/arousal) on WESAD, measured by Macro-averaged F1 (higher is better). Each number is copied from the publication cited in its row, and ranks apply only within this dataset and metric and this protocol group.

Evaluation protocol: WESAD 3-class baseline / stress / amusement (original paper)

Emotion recognition (valence/arousal): WESAD, Macro-averaged F1. Reported rankings; evaluation protocols may differ.
RankMethod & evaluationMacro-averaged F1↑ Higher is better
1Random Forest, wrist physio
Evaluation details · caveat

Site: wrist (E4)

Caveat: ± 0.0036 over 5 runs; accuracy 76.17%; condition labels.

0.6633
2AdaBoost, all wrist

AdaBoost, all wrist (+ACC)

Evaluation details · caveat

Site: wrist (E4)

Caveat: Accuracy 75.21%.

0.6412
3LDA, wrist BVP
Evaluation details · caveat

Site: wrist (E4)

Caveat: Accuracy 70.17%; best PPG-only row.

0.5472

Rows are ranked only within this task × dataset × metric and one protocol group. Protocols can still differ in detail; read each method's evaluation details before comparing.

About the dataset

Licence: Scientific, non-commercial use with credit to the owners

Sources on this board

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Data and submissions

Downloads of every leaderboard (JSON and CSV) are free for members. Sign in to download.Missing a published result? Email hello@chatppg.com with the paper link and the exact table it comes from.

Cite or reuse this

CC BY 4.0ChatPPG compiled this data. You can copy, adapt and republish it, including in articles, slides, papers and AI tools, as long as you credit ChatPPG and link to this page. Please also cite the original studies for any number you use.

Attribution

Source: ChatPPG, WESAD macro-F1 leaderboard (3-class): emotion recognition (valence/arousal), https://chatppg.com/research/leaderboards/emotion/wesad-macro-f1-3-class (CC BY 4.0)

HTML link

Source: <a href="https://chatppg.com/research/leaderboards/emotion/wesad-macro-f1-3-class">ChatPPG, WESAD macro-F1 leaderboard (3-class): emotion recognition (valence/arousal)</a> (<a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>)

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

APA

ChatPPG. (2026). WESAD macro-F1 leaderboard (3-class): emotion recognition (valence/arousal) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/emotion/wesad-macro-f1-3-class

BibTeX
@misc{chatppg_emotion_wesad_macro_f1_3_class,
  author       = {{ChatPPG}},
  title        = {{WESAD macro-F1 leaderboard (3-class): emotion recognition (valence/arousal)}},
  year         = {2026},
  month        = nov,
  howpublished = {\url{https://chatppg.com/research/leaderboards/emotion/wesad-macro-f1-3-class}},
  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 macro-F1 leaderboard (3-class): emotion recognition (valence/arousal)"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/emotion/wesad-macro-f1-3-class"
date-released: "2026-11-05"