SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 125 of 744 papers

TitleStatusHype
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs0
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition NetworkCode0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding0
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition0
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments0
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs0
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques0
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition0
Label Leakage in Federated Inertial-based Human Activity RecognitionCode0
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic DatasetCode0
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity RecognitionCode0
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition0
SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition0
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection0
SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems0
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 IMUs0
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments0
A Training Framework for Optimal and Stable Training of Polynomial Neural NetworksCode0
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained DevicesCode0
SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition0
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches0
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor DataCode0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition0
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual-Stream C3DAccuracy (Top-1)71.06Unverified
2C3DAccuracy (Top-1)70.3Unverified
3Dual-Stream ConvNetAccuracy (Top-1)62.77Unverified
4SlowFast (101)Accuracy (Top-1)45.28Unverified
#ModelMetricClaimedVerifiedStatus
1ESTIE + VGG16 (transfer-learning)Accuracy95.22Unverified
2STIE + VGG16 (transfer-learning)Accuracy94.77Unverified
3STIE + VGG16(fine-tuning)Accuracy86.81Unverified
#ModelMetricClaimedVerifiedStatus
1AFVFAccuracy0.97Unverified
2Selective HAR ClusteringNMI0.88Unverified
3Unsupervised embedding learning for human activity recognition using wearable sensor dataNMI0.87Unverified
#ModelMetricClaimedVerifiedStatus
1LMSSAccuracy1Unverified
2AFVFAccuracy0.99Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy61.18Unverified
#ModelMetricClaimedVerifiedStatus
1unsupervised statistical feature guided diffusion modelF1 - macro0.44Unverified
#ModelMetricClaimedVerifiedStatus
1DIAT-RadHARNet1:1 Accuracy99.22Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy89.5Unverified