SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 461470 of 744 papers

TitleStatusHype
Human Activity Recognition based on Dynamic Spatio-Temporal Relations0
Human activity recognition based on time series analysis using U-Net0
Human Activity Recognition for Edge Devices0
Human Activity Recognition for Mobile Robot0
Human activity recognition from mobile inertial sensors using recurrence plots0
Human Activity Recognition from Wi-Fi CSI Data Using Principal Component-Based Wavelet CNN0
Human Activity Recognition in RGB-D Videos by Dynamic Images0
Human Activity Recognition Models in Ontology Networks0
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning0
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual-Stream C3DAccuracy (Top-1)71.06Unverified
2C3DAccuracy (Top-1)70.3Unverified
3Dual-Stream ConvNetAccuracy (Top-1)62.77Unverified
4SlowFast (101)Accuracy (Top-1)45.28Unverified
#ModelMetricClaimedVerifiedStatus
1ESTIE + VGG16 (transfer-learning)Accuracy95.22Unverified
2STIE + VGG16 (transfer-learning)Accuracy94.77Unverified
3STIE + VGG16(fine-tuning)Accuracy86.81Unverified
#ModelMetricClaimedVerifiedStatus
1AFVFAccuracy0.97Unverified
2Selective HAR ClusteringNMI0.88Unverified
3Unsupervised embedding learning for human activity recognition using wearable sensor dataNMI0.87Unverified
#ModelMetricClaimedVerifiedStatus
1LMSSAccuracy1Unverified
2AFVFAccuracy0.99Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy61.18Unverified
#ModelMetricClaimedVerifiedStatus
1unsupervised statistical feature guided diffusion modelF1 - macro0.44Unverified
#ModelMetricClaimedVerifiedStatus
1DIAT-RadHARNet1:1 Accuracy99.22Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy89.5Unverified