Human activity recognition leaderboard
mhealth: macro-F1
4 reported results for human activity recognition on mhealth, ranked by macro-F1. Top reported: CHEAR (88.62 (%)). Every row cites its source publication.
This page ranks every result ChatPPG has recorded for human activity recognition on mhealth, measured by Macro-F1 on HAR activities (higher is better). Each number is copied from the publication cited in its row, and ranks apply only within this dataset and metric.
| Rank | Method & evaluation | Macro-F1 on HAR activities↑ Higher is better |
|---|---|---|
| 1 | CHEAR chear-confusion-hierarchy-evidence-aware-llm-har-2026 (CHEAR, Gemini 3 Flash Preview, training-free LLM RAG) Evaluation detailsCross-subject; prior-method numbers in the paper are copied from ZARA (not re-run) → same-family as the ZARA row (86.1, Gemini-2.0-Flash) but different LLM; 2026-10-14 | 88.62 (%) |
| 2 | ZARA zara-training-free-motion-reasoning-llm-agents-acl-2026 (ZARA, Gemini-2.0-Flash) Evaluation detailssame ZARA protocol, 12 classes. | 86.1 (%) |
| 3 | OntoAR-HAR ontoar-har-ontology-guided-agentic-rag-har-2026 (OntoAR-HAR, Gemini 3.0 Flash, agentic RAG + personalized memory) Evaluation detailsMean of ten random samples (Table II); ZARA row copied in-table; 2026-10-14 | 84.6 ± 2.6 (%) |
| 4 | InrtlWrist inrtlwrist (InrtlWrist) Evaluation detailsIMU-Bench subject-disjoint 2.56 s, 12 classes, wrist channels only — different protocol from ZARA-family rows; not ranked against them. | 68.6 probe / 72.4 FT (%) |
Rows are ranked only within this task × dataset × metric. Protocols can differ; read each method's evaluation details before comparing.
About the dataset
- Subjects
- 10
- Signals
- accel
- Licence
- Creative Commons Attribution 4.0 International (CC BY 4.0)
Sources on this board
- CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity Recognition (paper)
- ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents (paper)
- OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition (paper)
- InrtlWrist (model)
Related leaderboards
Other metrics on mhealth
Human activity recognition on other datasets
- PAMAP2: macro-F1 (7)
- opportunity: macro-F1 (6)
- capture-24: macro-F1 (5)
- capture-24: Cohen's kappa (4)
- PAMAP2: F1 (4)
- RealWorld HAR: macro-F1 (4)
- WISDM AR v1.1: accuracy (4)
- UCI Human Activity Recognition Using Smartphones (UCI-HAR): F1 (3)
- USC-HAD: F1 (3)
- DEO: balanced accuracy (1)
- har-6bench-avg: macro-F1 (1)
- HHAR: macro-F1 (1)
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). mhealth macro-F1 leaderboard: human activity recognition [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/har/mhealth-macro-f1-har
BibTeX
@misc{chatppg_har_mhealth_macro_f1_har,
author = {{ChatPPG}},
title = {{mhealth macro-F1 leaderboard: human activity recognition}},
year = {2026},
month = oct,
howpublished = {\url{https://chatppg.com/research/leaderboards/har/mhealth-macro-f1-har}},
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: "mhealth macro-F1 leaderboard: human activity recognition" authors: - name: "ChatPPG" url: "https://chatppg.com/research/leaderboards/har/mhealth-macro-f1-har" date-released: "2026-10-16"