SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 744 papers

TitleStatusHype
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning—0
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition—0
SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning—0
SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition—0
SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems—0
SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems—0
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks—0
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks—0
SSDL: Self-Supervised Dictionary Learning—0
Stacked Generalization for Human Activity Recognition—0
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors—0
Starting Movement Detection of Cyclists Using Smart Devices—0
Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels—0
Student Activity Recognition in Classroom Environments using Transfer Learning—0
Super Normal Vector for Activity Recognition Using Depth Sequences—0
SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition—0
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation—0
WiFi-TCN: Temporal Convolution for Human Interaction Recognition based on WiFi signal—0
Template co-updating in multi-modal human activity recognition systems—0
Temporally Robust Global Motion Compensation by Keypoint-based Congealing—0
TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition—0
Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR—0
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes—0
Three-stream network for enriched Action Recognition—0
Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs—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