Orientation-independent human activity recognition using complementary radio frequency sensing

M Muaaz, S Waqar, M Pätzold - Sensors, 2023 - mdpi.com
RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting
accidental falls and recognizing human activities. Contemporary RF-based HAR systems …

Direction-independent human activity recognition using a distributed MIMO radar system and deep learning

S Waqar, M Muaaz, M Pätzold - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Modern monostatic radar-based human activity recognition (HAR) systems perform very well
as long as the direction of human activities is either toward or away from the radar. The …

A simulation-based framework for the design of human activity recognition systems using radar sensors

S Waqar, M Pätzold - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Modern human activity recognition (HAR) systems are designed using large amounts of
experimental data. So far, real-data-driven or experimental-based HAR systems using Wi-Fi …

Human activity signatures captured under different directions using SISO and MIMO radar systems

S Waqar, M Muaaz, M Pätzold - Applied Sciences, 2022 - mdpi.com
In this paper, we highlight and resolve the shortcomings of single-input single-output (SISO)
millimeter wave (mm-Wave) radar systems for human activity recognition (HAR). A 2× 2 …

A Paradigm Shift from an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis

S Waqar, M Muaaz, S Sigg, M Pätzold - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
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 …

Radar-Based Exercise Energy Expenditure Estimation with Deep Learning

AN Yusni, KKM Shariff, MAM Ali… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
Exercise is crucial for maintaining a healthy weight and reducing the risk of chronic
diseases, yet over half of Malaysia's adult population is overweight or obese due to lack of …