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Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 744 papers

TitleStatusHype
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
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial SensorsCode0
ConvBoost: Boosting ConvNets for Sensor-based Activity RecognitionCode0
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
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
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold ProcessorsCode0
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning—0
Human activity recognition using deep learning approaches and single frame cnn and convolutional lstm—0
Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio—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