Papers Human Activity Recognition
“Human Activity Recognition” 태그가 달린 논문 932편 · 필터 해제
Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition
IMU-based human activity recognition (HAR) enables continuous, privacy-friendly monitoring of daily activities using wearable sensors. However, building reliable HAR models that generalize across diverse users and real-w…
Human Activity RecognitionHALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity Recognition
Human Activity Recognition (HAR) using inertial measurement units (IMUs) enables a wide range of applications, yet the field still lacks a unified model that can generalize across diverse subjects, devices, and activitie…
Human Activity RecognitionSelf-Supervised LearningContrastive LearningA comparison between ceiling-mounted FMCW, IR-UWB and Wi-Fi radar for in-bedroom human activity monitoring and sleep interruption detection
Despite their growing importance for contact-free radio frequency (RF) based healthcare monitoring, different radio technologies such as frequency-modulated continuous wave (FMCW) radar, impulse radio ultra-wideband (IR-…
Human Activity RecognitionVSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation
Wearable human activity recognition (HAR) is often limited by the scarcity of labeled sensor data, especially in low-resource, class-imbalanced, and subject-generalization settings. Synthetic IMU generation can reduce th…
Human Activity RecognitionSynthetic Data GenerationDual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing
Millimeter-wave human activity recognition suffers significant performance degradation when the user's orientation changes relative to the sensing system, yet collecting labeled multi-orientation data is labor-intensive …
Human Activity RecognitionTransfer LearningWiFuse: An Attention Mechanism for Human Activity Recognition using Fused CSI Amplitude and Delay-Doppler Channel Features
Recently, Wi-Fi sensing has played a significant role in Human Activity Recognition (HAR), as it enables the detection of various activities using only Wi-Fi signals, ensuring privacy and remaining non-intrusive for the …
Human Activity RecognitionTransfer LearningEnhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework
Irregular multivariate time series are widely encountered in applications such as healthcare monitoring, human activity recognition, and environmental sensing. Their core challenges stem from asynchronous observations, n…
Human Activity RecognitionTime Series ForecastingRAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment
Human Activity Recognition (HAR) from wearable sensors supports applications in healthcare, rehabilitation, fitness tracking, and smart environments. Yet, existing deep learning approaches require dataset-specific traini…
Human Activity RecognitionZero-Fi: Zero-Shot Wi-Fi-Based Human Activity Recognition via Contrastive Signal-Language Alignment
Wi-Fi-based human activity recognition has advanced substantially, but most existing methods assume a closed set of activities and require labeled Wi-Fi samples for every target class, limiting their ability to recognize…
Human Activity RecognitionDynamic Manipulation Hypergraphs for HAR: Beyond Pairwise Relations: Dynamic Manipulation Hypergraphs for Vision-Based Human Activity Recognition
Fine-grained manipulation recognition requires modeling evolving relations among hands, objects, tools, and supporting surfaces. Conventional graph-based methods use pairwise edges that can fragment a coordinated event i…
Human Activity RecognitionData-Efficient Deep Learning: Empirical Guidelines for Training Set Size Estimation in Inertial Sensor Classification
Deep learning models dependency on large-scale inertial datasets presents a significant bottleneck in inertial sensor-based classification tasks, such as human activity recognition and smartphone location recognition. In…
Human Activity RecognitionGeneralization Theory for Through-the-Wall Radar Human Activity Recognition
Through-the-wall radar (TWR) human activity recognition (HAR) is important for non-line-of-sight indoor sensing, security monitoring, and emergency rescue. However, structured distribution shifts caused by person variati…
Human Activity RecognitionDomain GeneralizationInertia-1: An Open Exploration of Wearable Motion Foundation Models
Wearable motion sensing provides a continuous and scalable window into human behavior and health, making it a natural fit for foundation models, yet its pretraining and scaling principles remain poorly understood. Prior …
Human Activity RecognitionRepresentation LearningSTELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition
HAR is increasingly expected to run continuously on edge devices, yet recent LLM-based methods remain hard to deploy: raw sensor prompts are long, cloud inference adds latency and privacy risk, and fine-tuned LLM pipelin…
Human Activity RecognitionFedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy
The federated learning (FL) paradigm fosters distributed pervasive computing combined with artificial intelligence techniques, allowing for optimized data usage and improved mitigation of privacy concerns. Indeed, model …
Human Activity RecognitionFederated LearningA Comparison of Fusion Techniques for Multi-Modal Human Activity Recognition on the HARMES Dataset
Recent advances in Human Activity Recognition (HAR) from wearable sensors have shown that multi-modal deep learning models consistently outperform their uni-modal counterparts. Modalities can include IMUs, RGB cameras, a…
Human Activity RecognitionAssessing Distribution Shift in Human Activity Recognition for Domain Generalization
While the field of Human Activity Recognition (HAR) continues to draw interest from researchers and advance in important ways, some key challenges remain. One of the most difficult aspects of building HAR models that sho…
Human Activity RecognitionDomain GeneralizationCLIP-guided Diffusion Model for Backdoor Generation in Sensor-based Human Activity Recognition
Sensors are critical components of modern intelligent devices. The proliferation of the Internet of Things (IoT) and wearable mobile devices has enabled the integration of such sensors to monitor the environment and enab…
Human Activity RecognitionMedical DiagnosisWHAR Arena: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition
Deep learning has become the dominant paradigm in Wearable Human Activity Recognition (WHAR), yet progress is obscured by a comparability crisis. Results are often reported using inconsistent datasets, custom data proces…
Human Activity RecognitionController-Augmented Hidden Markov Models: A Computational Framework for Constrained Sequential Inference
Hidden Markov models are foundational for sequential inference, but their Markovian assumption fails under pathwise constraints such as precedence requirements, visitation cardinalities, or monotonic state progression, w…
Human Activity Recognition