Human activity recognition leaderboard

WISDM AR v1.1: accuracy

Name: WISDM AR v1.1 accuracy leaderboard: human activity recognition
Creator: ChatPPG

4 reported results for human activity recognition on WISDM AR v1.1, ranked by accuracy. Top reported: MLP (Kwapisz) (91.7). Every row cites its source…

This page ranks every result ChatPPG has recorded for human activity recognition on WISDM AR v1.1, 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.

Human activity recognition (IMU): WISDM AR v1.1, Accuracy. Reported rankings; evaluation protocols may differ.
Rank	Method & evaluation	Accuracy↑ Higher is better
1	MLP (Kwapisz) Multilayer perceptron Evaluation details WISDM v1.1 (original release), 29 users, phone in front pocket, 10 s windows, 43 features; 10-fold cross-validation over windows, NOT subject-independent; overall accuracy in %. Reported as of: 2026-10-16	91.7
2	J48 (Kwapisz) J48 decision tree Evaluation details WISDM v1.1 (original release), 29 users, phone in front pocket, 10 s windows, 43 features; 10-fold cross-validation over windows, NOT subject-independent; overall accuracy in %. Reported as of: 2026-10-16	85.1
3	Logistic regression (Kwapisz) Logistic regression Evaluation details WISDM v1.1 (original release), 29 users, phone in front pocket, 10 s windows, 43 features; 10-fold cross-validation over windows, NOT subject-independent; overall accuracy in %. Reported as of: 2026-10-16	78.1
4	Majority class (Kwapisz) Majority-class baseline Evaluation details WISDM v1.1 (original release), 29 users, phone in front pocket, 10 s windows, 43 features; 10-fold cross-validation over windows, NOT subject-independent; overall accuracy in %. Reported as of: 2026-10-16	37.2

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

WISDM AR v1.1: cellphone accelerometer HAR (n=36)

Subjects: 36
Signals: accel
Licence: Not stated

Related leaderboards

Other metrics on WISDM AR v1.1

Human activity recognition: macro-F1 (1)

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)
mhealth: F1 (4)
mhealth: macro-F1 (4)
PAMAP2: F1 (4)
RealWorld HAR: macro-F1 (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)

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). WISDM AR v1.1 accuracy leaderboard: human activity recognition [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/har/wisdm-accuracy

BibTeX

@misc{chatppg_har_wisdm_accuracy,
  author       = {{ChatPPG}},
  title        = {{WISDM AR v1.1 accuracy leaderboard: human activity recognition}},
  year         = {2026},
  month        = oct,
  howpublished = {\url{https://chatppg.com/research/leaderboards/har/wisdm-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: "WISDM AR v1.1 accuracy leaderboard: human activity recognition"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/har/wisdm-accuracy"
date-released: "2026-10-16"