Human activity recognition leaderboard

OPPORTUNITY: macro-F1 (ZARA protocol, training-free LLM agents)

Name: OPPORTUNITY macro-F1 leaderboard (ZARA protocol, training-free LLM agents): human activity recognition
Creator: ChatPPG
License: https://creativecommons.org/licenses/by/4.0/

3 reported results for human activity recognition on OPPORTUNITY (ZARA protocol, training-free LLM agents), ranked by Macro-F1 on HAR activities. Every row cites its source publication.

Last updated Oct 19, 2026

Recent changes

Oct 19, 2026
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.

Best reported result · macro-F1 · higher is better

92.5 (%)by ZARA (2025)

Open weightsNo result on this board has released weights on record.

3 results1 with code0 open weightsYears 2025–2026

Progress over time · macro-F1 · higher is better

Best so farNew bestOther resultProtocols can differ between points; check each row below.

Chart data (3 results)

Year	Model	Open weights	macro-F1
2025	ZARA (new best)	No or unknown	92.5 (%)
2026	CHEAR	No or unknown	85.13 (%)
2026	OntoAR-HAR	No or unknown	91.5 ± 1.6 (%)

Human activity recognition (IMU): OPPORTUNITY, Macro-F1 on HAR activities. Reported results; ranks apply within this dataset, metric and protocol group.
Rank	Model	macro-F1 ↑	Year	Code	Open weights	Size	Protocol
1	ZARA zara-training-free-motion-reasoning-llm-agents-acl-2026 (ZARA, Gemini-2.0-Flash, training-free LLM agents)	92.5 (%)	2025	Code	Closed	—	Subject-disjointLab Evaluation details ZARA protocol: knowledge base from seen subjects, class-balanced held-out-subject test, 4 classes (Table 1). Label set: 4 classes Sensors in dataset: IMU Sampling rate: 30 Hz
2	OntoAR-HAR ontoar-har-ontology-guided-agentic-rag-har-2026 (OntoAR-HAR, Gemini 3.0 Flash)	91.5 ± 1.6 (%)	2026	No code link recorded	Unknown	—	Subject-disjointLab Evaluation details Mean of ten samples Label set: as ZARA table (4 classes) Sensors in dataset: IMU Sampling rate: 30 Hz
3	CHEAR chear-confusion-hierarchy-evidence-aware-llm-har-2026 (CHEAR, Gemini 3 Flash)	85.13 (%)	2026	No code link recorded	Unknown	—	Subject-disjointLab Evaluation details ZARA 92.5 in the same table Label set: as ZARA table (4 classes) Sensors in dataset: IMU Sampling rate: 30 Hz

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. Year, code, open weights and size come from each model's or paper's record; a dash or “Unknown” means the record does not say.

This page ranks every result ChatPPG has recorded for human activity recognition on OPPORTUNITY, 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 and this protocol group.

Evaluation protocol: ZARA-protocol family: training-free LLM agents; knowledge base from seen subjects, class-balanced held-out-subject test.

About the dataset

OPPORTUNITY4 subjects · IMU

Licence: Creative Commons Attribution 4.0 International (CC BY 4.0)

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, OPPORTUNITY macro-F1 leaderboard (ZARA protocol, training-free LLM agents): human activity recognition, https://chatppg.com/research/leaderboards/har/opportunity-macro-f1-har-zara-protocol (CC BY 4.0)

HTML link

Source: <a href="https://chatppg.com/research/leaderboards/har/opportunity-macro-f1-har-zara-protocol">ChatPPG, OPPORTUNITY macro-F1 leaderboard (ZARA protocol, training-free LLM agents): human activity recognition</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). OPPORTUNITY macro-F1 leaderboard (ZARA protocol, training-free LLM agents): human activity recognition [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/har/opportunity-macro-f1-har-zara-protocol

BibTeX

@misc{chatppg_har_opportunity_macro_f1_har_zara_protocol,
  author       = {{ChatPPG}},
  title        = {{OPPORTUNITY macro-F1 leaderboard (ZARA protocol, training-free LLM agents): human activity recognition}},
  year         = {2026},
  month        = oct,
  howpublished = {\url{https://chatppg.com/research/leaderboards/har/opportunity-macro-f1-har-zara-protocol}},
  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: "OPPORTUNITY macro-F1 leaderboard (ZARA protocol, training-free LLM agents): human activity recognition"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/har/opportunity-macro-f1-har-zara-protocol"
date-released: "2026-10-19"