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
| Rank | Method & evaluation | 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 |
|---|---|---|
| — | FEEL best transfer, real-life trainEvaluation details · caveatSite: 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.
Sources on this board
Related leaderboards
Other metrics on Real-life → constraint datasets
Emotion recognition (valence/arousal)
Real-life datasets → lab datasets: F1 (Real-life → lab)
1 result
Emotion recognition (valence/arousal)
Lab-device → custom-wearable datasets: F1 (Lab device → custom wearable)
1 result
Emotion recognition (valence/arousal)
Lab-device → E4 datasets: F1 (Lab device → E4)
1 result
Emotion recognition (valence/arousal) on other datasets
Emotion recognition (valence/arousal)
CEAP-360VR: accuracy (Valence)
3 results
Emotion recognition (valence/arousal)
CEAP-360VR: accuracy (Arousal)
3 results
Emotion recognition (valence/arousal)
WESAD: accuracy (Valence, 8 s)
3 results
Emotion recognition (valence/arousal)
WESAD: AUROC (Valence)
3 results
Emotion recognition (valence/arousal)
WESAD: macro-F1 (3-class)
3 results
Emotion recognition (valence/arousal)
ADARP: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
ADARP: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
ADARP: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
CASE: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
CASE: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
CASE: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
CEAP-360VR: F1 (Valence)
2 results
Show 72 more leaderboards
Emotion recognition (valence/arousal)
CEAP-360VR: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
CEAP-360VR: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
CLAS: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
CLAS: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
CLAS: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
DAPPER: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
DAPPER: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
DAPPER: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
Exercise: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
Exercise: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
Exercise: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
ECSMP: AUROC (Mood, POMS TMD)
2 results
Emotion recognition (valence/arousal)
Emognition: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
Emognition: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
Emognition: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
EmoWear: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
EmoWear: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
EmoWear: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
ForDigitStress: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
GroupAffect-4: macro-F1 (Valence, known-team)
2 results
Emotion recognition (valence/arousal)
GroupAffect-4: macro-F1 (Arousal, known-team)
2 results
Emotion recognition (valence/arousal)
GroupAffect-4: macro-F1 (Dominance, known-team)
2 results
Emotion recognition (valence/arousal)
LAUREATE: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
LAUREATE: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
LAUREATE: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
MAUS: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
MAUS: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
MOCAS: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
MOCAS: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
MOCAS: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
NURSE: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
NURSE: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
NURSE: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
PhyMER: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
PhyMER: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
ScientISST MOVE: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
ScientISST MOVE: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
ScientISST MOVE: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
UBFC-Phys: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
UBFC-Phys: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
UBFC-Phys: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
Unobtrusive: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
Unobtrusive: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
Unobtrusive: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
VERBIO: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
VERBIO: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
VERBIO: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
WARM-VR: macro-F1 (Valence)
2 results
Emotion recognition (valence/arousal)
WARM-VR: macro-F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
WARM-VR: macro-F1 (Relaxation)
2 results
Emotion recognition (valence/arousal)
WESAD: accuracy (Arousal, 8 s)
2 results
Emotion recognition (valence/arousal)
WESAD: accuracy (3-class)
2 results
Emotion recognition (valence/arousal)
WESAD: AUROC (Arousal)
2 results
Emotion recognition (valence/arousal)
WESAD: F1 (Valence)
2 results
Emotion recognition (valence/arousal)
WESAD: F1 (Arousal)
2 results
Emotion recognition (valence/arousal)
WESAD: F1 (4-class)
2 results
Emotion recognition (valence/arousal)
CEAP-360VR: accuracy (Valence 3-class)
1 result
Emotion recognition (valence/arousal)
CEAP-360VR: accuracy (Arousal 3-class)
1 result
Emotion recognition (valence/arousal)
CEAP-360VR: accuracy (5-class)
1 result
Emotion recognition (valence/arousal)
CEAP-360VR: accuracy
1 result
Emotion recognition (valence/arousal)
ForDigitStress: F1 (Valence)
1 result
Emotion recognition (valence/arousal)
ForDigitStress: F1 (Arousal)
1 result
Emotion recognition (valence/arousal)
GroupAffect-4: macro-F1 (Valence, LOSO)
1 result
Emotion recognition (valence/arousal)
GroupAffect-4: macro-F1 (Arousal, LOSO)
1 result
Emotion recognition (valence/arousal)
GroupAffect-4: macro-F1 (Dominance, LOSO)
1 result
Emotion recognition (valence/arousal)
GroupAffect-4: macro-F1
1 result
Emotion recognition (valence/arousal)
MAUS: F1 (Arousal)
1 result
Emotion recognition (valence/arousal)
PhyMER: F1 (Arousal)
1 result
Emotion recognition (valence/arousal)
WARM-VR: AUROC (Valence)
1 result
Emotion recognition (valence/arousal)
WARM-VR: AUROC (Arousal)
1 result
Emotion recognition (valence/arousal)
WARM-VR: macro-F1
1 result
Emotion recognition (valence/arousal)
WESAD: macro-F1
1 result
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, 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"