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Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 744 papers

TitleStatusHype
Robust Explainer Recommendation for Time Series ClassificationCode0
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition—0
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition—0
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition—0
Cheating off your neighbors: Improving activity recognition through corroboration—0
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks—0
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning—0
CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network—0
ConvBoost: Boosting ConvNets for Sensor-based Activity RecognitionCode0
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial SensorsCode0
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors—0
WiFi-TCN: Temporal Convolution for Human Interaction Recognition based on WiFi signal—0
Privacy in Multimodal Federated Human Activity Recognition—0
rWISDM: Repaired WISDM, a Public Dataset for Human Activity Recognition—0
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensorsCode0
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable SensorsCode0
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition—0
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity RecognitionCode1
Human Activity Recognition Using Self-Supervised Representations of Wearable Data—0
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR—0
RHM: Robot House Multi-view Human Activity Recognition DatasetCode0
A Survey on Multi-Resident Activity Recognition in Smart Environments—0
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning—0
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning—0
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold ProcessorsCode0
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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