Latest Research in Context-Aware Activity Recognition Systems
32 research papers · 2026 median publication year
Top Research Topics in Context-Aware Activity Recognition Systems
- Context-Aware Activity Recognition Systems — 9 papers
- Machine Learning — 5 papers
- Human Pose and Action Recognition — 4 papers
- Artificial Intelligence — 3 papers
- Indoor and Outdoor Localization Technologies — 3 papers
- Non-Invasive Vital Sign Monitoring — 2 papers
- Signal Processing — 2 papers
- Time Series Analysis and Forecasting — 1 papers
- Human-Computer Interaction — 1 papers
- Social Robot Interaction and HRI — 1 papers
Highest-Cited Papers
- Adaptive Convolutional Neural Network-Enhanced Scale-Fusion Network for Human Activity Recognition Using Wearable Sensors
- Explainable attention-guided deep learning for physiological signal processing in body area networks
- MICA-Net: A Multimodal Cross-Attention Network for Human Action Recognition
- Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition
- Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions
- Comparative Analysis of Metaheuristic Feature Selection in SVM-Based Human Activity Recognition
- A Statistic-Augmented Neural Network for change point detection and type identification
- EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition
- Oto-Meal: Earable Sensing with PPG and IMU for Personalized Meal Awareness
- Lightweight spiking neural networks for human activity recognition on resource-constrained edge wearable devices
- RevalExo: A Functional Daily-Activity Benchmark for Inertial and Visual Locomotion Mode Recognition in Older Adults and Clinical Cohorts
- Self-Supervised IMU-Based Human Activity Recognition with Deep Spatio-Temporal Feature Extraction and Adaptive Feature Fusion
- Robust Continuous Human Activity Recognition Using Deep Learning and Distributed Radar Sensors
- DMART-HAR: Dynamic Multimodal Transformer Learning for Cross-Domain Human Activity Recognition
- PovNet+: a deep learning architecture for socially assistive robots to learn and assist with multiple activities of daily living
- Deployment-Oriented Evaluation of Lightweight IMU-Based Human Activity Recognition: On-Device Efficiency and Streaming Feasibility
- MAPFL: Modular Adaptive Personalised Federated Learning From Visual Sentiment to Physical Activity
- Anthropometry-aware chest-worn inertial sensing for pediatric activity assessment using a school-badge device
- TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition
- Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition