SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 744 papers

TitleStatusHype
AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices—0
An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing—0
An Efficient Data Imputation Technique for Human Activity Recognition—0
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches—0
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs—0
Analysis of Gait Pattern to Recognize the Human Activities—0
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation—0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition—0
A compact sequence encoding scheme for online human activity recognition in HRI applications—0
Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition—0
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living—0
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models—0
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs—0
Maximum Likelihood Speed Estimation of Moving Objects in Video Signals—0
A Close Look into Human Activity Recognition Models using Deep Learning—0
Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets—0
Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning—0
AsyMov: Integrated Sensing and Communications with Asynchronous Moving Devices—0
A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition—0
A Survey on Multi-Resident Activity Recognition in Smart Environments—0
A Survey on Multimodal Wearable Sensor-based Human Action 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