SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 311320 of 744 papers

TitleStatusHype
Channel Phase Processing in Wireless Networks for Human Activity Recognition0
Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human ActivitiesCode1
Provable Robustness for Streaming Models with a Sliding Window0
Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)Code1
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation0
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles0
Zone-based Federated Learning for Mobile Sensing Data0
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning0
Robust Multimodal Fusion for Human Activity Recognition0
VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild0
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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