M4X: Enhancing Cross-View Generalizability in RF-Based Human Activity Recognition by Exploiting Synthetic Data in Metric Learning
Human activity recognition provides insights into physical and mental well-being by
monitoring patterns of movement and behavior, facilitating personalized interventions and …
monitoring patterns of movement and behavior, facilitating personalized interventions and …
A Paradigm Shift from an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis
The development of radar-based classifiers driven by empirical data can be highly
demanding and expensive due to the unavailability of radar data. In this article, we introduce …
demanding and expensive due to the unavailability of radar data. In this article, we introduce …
SMART: Scene-motion-aware human action recognition framework for mental disorder group
Patients with mental disorders often exhibit risky abnormal actions, such as climbing walls or
hitting windows, necessitating intelligent video behavior monitoring for smart healthcare with …
hitting windows, necessitating intelligent video behavior monitoring for smart healthcare with …
Synthetic Radar Signal Generator for Human Motion Analysis
E Pocoma, HC Yildirim, JF Determe… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Synthetic generation of radar signals is an attractive solution to alleviate the lack of
standardized datasets containing paired radar and human-motion data. Unfortunately …
standardized datasets containing paired radar and human-motion data. Unfortunately …
A Simulation-Based Framework for the Design of Direction-Independent Human Activity Recognition Systems Using Radar Sensors
S Waqar - Doctoral dissertations at University of Agder, 2024 - uia.brage.unit.no
Human activity recognition (HAR) systems play an important role in understanding and
interpreting human movements across various domains, with applications ranging from …
interpreting human movements across various domains, with applications ranging from …