Human activity recognition leaderboard

mhealth: accuracy

Name: mhealth accuracy leaderboard: human activity recognition
Creator: ChatPPG

1 reported result for human activity recognition on mhealth, ranked by accuracy. Every row cites its source publication.

This page ranks every result ChatPPG has recorded for human activity recognition on mhealth, 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.

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.

Human activity recognition (IMU): mhealth, Accuracy. Reported rankings; evaluation protocols may differ.
Rank	Method & evaluation	Accuracy↑ Higher is better
1	Random forest (Yang) Random-forest strategy (Yang) Evaluation details Leave-one-subject-out; random-forest-based strategy; the paper reports an average F1 and accuracy in %. Reported as of: 2026-10-16	95.09

Rows are ranked only within this task × dataset × metric. Protocols can differ; read each method's evaluation details before comparing. Latest reported row: 2026-10-16.

About the dataset

mhealth

Subjects: 10
Signals: accel
Licence: Creative Commons Attribution 4.0 International (CC BY 4.0)

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)

All human activity recognition leaderboards

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 accuracy leaderboard: human activity recognition [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/har/mhealth-accuracy

BibTeX

@misc{chatppg_har_mhealth_accuracy,
  author       = {{ChatPPG}},
  title        = {{mhealth accuracy leaderboard: human activity recognition}},
  year         = {2026},
  month        = oct,
  howpublished = {\url{https://chatppg.com/research/leaderboards/har/mhealth-accuracy}},
  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 accuracy leaderboard: human activity recognition"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/har/mhealth-accuracy"
date-released: "2026-10-16"