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Human Activity Recognition
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Classify various human activities
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
MORIC: CSI Delay-Doppler Decomposition for Robust Wi-Fi-based Human Activity Recognition
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks
Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
Label Leakage in Federated Inertial-based Human Activity Recognition
SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems
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
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks
SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
A Comparative Study of Human Activity Recognition: Motion, Tactile, and multi-modal Approaches
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition
TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition
SignX: The Foundation Model for Sign Recognition
RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space Model
Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition
Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding
Redundant feature screening method for human activity recognition based on attention purification mechanism
CMD-HAR: Cross-Modal Disentanglement for Wearable Human Activity Recognition
PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
DGAR: A Unified Domain Generalization Framework for RF-Enabled Human Activity Recognition
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