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UCI-HAR

Benchmarks

Task NameDataset NameSOTA ResultTrend
Human Activity RecognitionUCI-HAR
Accuracy97.76
86
Time-series ClassificationUCI-HAR
Accuracy96.9
78
Human Activity RecognitionUCI-HAR (test)
Accuracy96.33
17
Human Activity RecognitionUCI HAR
Inference latency (ms)0.21
16
Activity RecognitionUCI-HAR
Accuracy98.954
15
Human Activity RecognitionUCI-HAR Subject-Hold-Out
Accuracy90
14
Wearable Human Activity RecognitionUCI-HAR S09 → S30 cross-subject test-time adaptation
MF1 Score40.03
12
Wearable Human Activity RecognitionUCI-HAR S09 → S19 cross-subject test-time adaptation
MF1 Score46.2
12
Wearable Human Activity RecognitionUCI-HAR S08 → S23 cross-subject test-time adaptation
MF1 Score77.89
12
Wearable Human Activity RecognitionUCI-HAR S08 → S21 cross-subject test-time adaptation
MF1 Score80.46
12
Wearable Human Activity RecognitionUCI-HAR S07 → S27 cross-subject test-time adaptation
MF1 Score80.05
12
Wearable Human Activity RecognitionUCI-HAR S07 → S19 cross-subject test-time adaptation
MF1 Score53.22
12
Wearable Human Activity RecognitionUCI-HAR S05 → S29 (cross-subject test-time adaptation)
MF1 Score73.04
12
Wearable Human Activity RecognitionUCI-HAR S05 → S18 cross-subject test-time adaptation
MF1-score59.89
12
Medical Time Series ClassificationUCI-HAR 6-Classes
Accuracy91.65
12
Human Activity RecognitionUCI-HAR 6-Classes (test)
Accuracy94.15
11
Human Activity RecognitionUCI-HAR
Accuracy56.5
9
Human Activity RecognitionUCI-HAR Natural Distribution
Accuracy (%)71.28
9
Human Activity RecognitionUCI-HAR IID Setting
Accuracy78.1
9
Unsupervised ClusteringUCI-HAR
NMI65
8
Human Activity RecognitionUCI-HAR 9ch (LOSO-CV)
Accuracy (Clean)95.5
5
Human activity recognitionUCI-HAR (cross-domain)
Accuracy96.84
5
Human Activity RecognitionUCI-HAR alpha=1.0 (test)
Accuracy91.51
5
Human Activity RecognitionUCI-HAR alpha=0.5 (test)
Accuracy92.3
5
Human Activity RecognitionUCI-HAR alpha=0.2 (test)
Accuracy94.03
5
Showing 25 of 29 rows