Human Activity Recognition
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Benchmarks
Most implemented
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Kernel Cross-Correlator
Dual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
Papers
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 Learning