Emotion recognition (valence/arousal) leaderboard

Real-life → constraint datasets: F1 (Real-life → constraint)

1 reported result for emotion recognition (valence/arousal) on Real-life → constraint datasets (Real-life → constraint), ranked by F1. Every row cites its…

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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 Real-life → constraint datasets, measured by F1 score (averaging not stated in the source; e.g. FEEL "average F1"). Neutral public label — never ranked with `macro_f1` or `f1`. Use `macro_f1` / `F1 (macro)` only when the paper states macro averaging (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.

Only one result has been reported on this dataset and metric so far, so this is a reference point rather than a multi-method comparison.

Evaluation protocol: Cross-dataset and foundation-model results

Emotion recognition (valence/arousal): Real-life → constraint datasets, F1 score (averaging not stated in the source; e.g. FEEL "average F1"). Neutral public label — never ranked with `macro_f1` or `f1`. Use `macro_f1` / `F1 (macro)` only when the paper states macro averaging. Reported rankings; evaluation protocols may differ.
RankMethod & evaluationF1 score (averaging not stated in the source; e.g. FEEL "average F1"). Neutral public label — never ranked with `macro_f1` or `f1`. Use `macro_f1` / `F1 (macro)` only when the paper states macro averaging↑ Higher is better
—FEEL best transfer, real-life train
Evaluation details · caveat

Site: mostly wrist (E4)

Not ranked: Approximate.

0.78

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.

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Data and submissions

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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, Real-life → constraint datasets F1 leaderboard (Real-life → constraint): emotion recognition (valence/arousal), https://chatppg.com/research/leaderboards/emotion/feel-cross-f1-score-real-life-constraint (CC BY 4.0)

HTML link

Source: <a href="https://chatppg.com/research/leaderboards/emotion/feel-cross-f1-score-real-life-constraint">ChatPPG, Real-life → constraint datasets F1 leaderboard (Real-life → constraint): 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). Real-life → constraint datasets F1 leaderboard (Real-life → constraint): emotion recognition (valence/arousal) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/emotion/feel-cross-f1-score-real-life-constraint

BibTeX
@misc{chatppg_emotion_feel_cross_f1_score_real_life_constraint,
  author       = {{ChatPPG}},
  title        = {{Real-life → constraint datasets F1 leaderboard (Real-life → constraint): emotion recognition (valence/arousal)}},
  year         = {2026},
  month        = nov,
  howpublished = {\url{https://chatppg.com/research/leaderboards/emotion/feel-cross-f1-score-real-life-constraint}},
  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: "Real-life → constraint datasets F1 leaderboard (Real-life → constraint): emotion recognition (valence/arousal)"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/emotion/feel-cross-f1-score-real-life-constraint"
date-released: "2026-11-05"