SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 744 papers

TitleStatusHype
Cross-Country Skiing Gears Classification using Deep Learning—0
A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring—0
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition—0
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables—0
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection—0
Human Action Attribute Learning From Video Data Using Low-Rank Representations—0
UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones—0
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput—0
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data ProcessingCode1
Contextual Relationship-based Activity Segmentation on an Event Stream in the IoT Environment with Multi-user Activities—0
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration—0
Robust Automated Human Activity Recognition and its Application to Sleep Research—0
Untrimmed Video Classification for Activity Detection: submission to ActivityNet ChallengeCode0
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance—0
Learning Latent Sub-events in Activity Videos Using Temporal Attention FiltersCode0
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables—0
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution—0
Temporally Robust Global Motion Compensation by Keypoint-based Congealing—0
Appearance Based Robot and Human Activity Recognition System—0
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition—0
Improving Human Activity Recognition Through Ranking and Re-ranking—0
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition—0
ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0—0
Deep Activity Recognition Models with Triaxial Accelerometers—0
Application of Machine Learning Techniques in Human Activity Recognition—0
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All datasetsRHMOAD datasetPAMAP2HARHMDB51MM-FitRadar Dataset (DIAT-μRadHAR: Radar micro-Doppler Signature dataset for Human Suspicious Activity Recognition)UCF-101

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual-Stream C3DAccuracy (Top-1)71.06—Unverified
2C3DAccuracy (Top-1)70.3—Unverified
3Dual-Stream ConvNetAccuracy (Top-1)62.77—Unverified
4SlowFast (101)Accuracy (Top-1)45.28—Unverified
#ModelMetricClaimedVerifiedStatus
1ESTIE + VGG16 (transfer-learning)Accuracy95.22—Unverified
2STIE + VGG16 (transfer-learning)Accuracy94.77—Unverified
3STIE + VGG16(fine-tuning)Accuracy86.81—Unverified
#ModelMetricClaimedVerifiedStatus
1AFVFAccuracy0.97—Unverified
2Selective HAR ClusteringNMI0.88—Unverified
3Unsupervised embedding learning for human activity recognition using wearable sensor dataNMI0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1LMSSAccuracy1—Unverified
2AFVFAccuracy0.99—Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy61.18—Unverified
#ModelMetricClaimedVerifiedStatus
1unsupervised statistical feature guided diffusion modelF1 - macro0.44—Unverified
#ModelMetricClaimedVerifiedStatus
1DIAT-RadHARNet1:1 Accuracy99.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy89.5—Unverified