SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 744 papers

TitleStatusHype
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
Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity RecognitionCode1
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
Lightweight Transformers for Human Activity Recognition on Mobile DevicesCode1
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
BON: An extended public domain dataset for human activity recognition—0
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics—0
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning—0
SFusion: Self-attention based N-to-One Multimodal Fusion BlockCode1
Contact-Free Multi-Target Tracking Using Distributed Massive MIMO-OFDM Communication System: Prototype and Analysis—0
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System—0
ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos—0
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition—0
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework—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