SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 376–400 of 744 papers

TitleStatusHype
Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition—0
Human Activity Recognition in an Open WorldCode0
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments—0
Towards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches—0
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition—0
Applications of human activity recognition in industrial processes -- Synergy of human and technology—0
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition—0
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback—0
Distribution estimation and change-point estimation for time series via DNN-based GANs—0
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud InferenceCode0
Investigating Enhancements to Contrastive Predictive Coding for Human Activity RecognitionCode0
SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition—0
Unsupervised Deep Learning-based clustering for Human Activity RecognitionCode0
Multi-Stage Based Feature Fusion of Multi-Modal Data for Human Activity Recognition—0
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values—0
Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?—0
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data—0
Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones—0
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity RecognitionCode0
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition—0
RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical FlowCode0
Efficient Deep Clustering of Human Activities and How to Improve EvaluationCode0
Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition—0
Out-of-Distribution Representation Learning for Time Series Classification—0
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation—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