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Emotion recognition (valence/arousal) leaderboard

WESAD: accuracy (Arousal, 8 s)

2 reported results for emotion recognition (valence/arousal) on WESAD (Arousal, 8 s), ranked by accuracy. Top reported: PaPaGei (0.84). Every row cites its…

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Recent changes

  1. Leaderboard added with 2 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 Accuracy (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: Arousal — other benchmarks

Emotion recognition (valence/arousal): WESAD, Accuracy. Reported rankings; evaluation protocols may differ.
RankMethod & evaluationAccuracy↑ Higher is better
1PaPaGei

PaPaGei (TF-MambaNet benchmark, frozen features)

Evaluation details · open weights · caveat

Site: wrist (E4)

Caveat: Authors' re-runs.

Weights: open

0.84
—TF-MambaNet

TF-MambaNet (frozen)

Evaluation details · open weights · caveat

Site: wrist (E4)

Not ranked: NormWear also 0.81; Chronos 0.79.

Weights: open

0.81

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

Related leaderboards

Other metrics on WESAD

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Emotion recognition (valence/arousal) on other datasets

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All emotion recognition (valence/arousal) leaderboards

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 accuracy leaderboard (Arousal, 8 s): emotion recognition (valence/arousal), https://chatppg.com/research/leaderboards/emotion/wesad-accuracy-arousal-8-s (CC BY 4.0)

HTML link

Source: <a href="https://chatppg.com/research/leaderboards/emotion/wesad-accuracy-arousal-8-s">ChatPPG, WESAD accuracy leaderboard (Arousal, 8 s): 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 accuracy leaderboard (Arousal, 8 s): emotion recognition (valence/arousal) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/emotion/wesad-accuracy-arousal-8-s

BibTeX
@misc{chatppg_emotion_wesad_accuracy_arousal_8_s,
  author       = {{ChatPPG}},
  title        = {{WESAD accuracy leaderboard (Arousal, 8 s): emotion recognition (valence/arousal)}},
  year         = {2026},
  month        = nov,
  howpublished = {\url{https://chatppg.com/research/leaderboards/emotion/wesad-accuracy-arousal-8-s}},
  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 (Arousal, 8 s): emotion recognition (valence/arousal)"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/emotion/wesad-accuracy-arousal-8-s"
date-released: "2026-11-05"