Browsing AURA by Author "Muaaz, Muhammad"
Now showing items 1-9 of 9
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Direction-Independent Human Activity Recognition Using a Distributed MIMO Radar System and Deep Learning
Waqar, Sahil; Muaaz, Muhammad; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2023)Modern monostatic radar-based human activity recognition (HAR) systems perform very well as long as the direction of human activities is either towards or away from the radar. The monostatic single-input single-output ... -
Human activity signatures captured under different directions using SISO and MIMO radar systems
Waqar, Sahil; Muaaz, Muhammad; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2022)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 distributed multiple-input multiple-output ... -
The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models
Muaaz, Muhammad; Abdelgawwad, Ahmed; Pätzold, Matthias Uwe (Chapter; Peer reviewed, 2019)This paper analyzes the time-variant (TV) Doppler power spectral density of a 3D non-stationary fixed-to-fixed indoor channel simulator after feeding it with realistic trajectories of a walking person. The trajectories of ... -
Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing
Muaaz, Muhammad; Waqar, Sahil; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2023)RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar ... -
A Paradigm Shift From an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis
Waqar, Sahil; Muaaz, Muhammad; Sigg, Stephan; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2024)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 an innovative simulation-based approach that ... -
A Trajectory-Driven 3D Non-Stationary mm-Wave MIMO Channel Model for a Single Moving Point Scatterer
Avazov, Nurilla; Hicheri, Rym; Muaaz, Muhammad; Sanfilippo, Filippo; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2021)This paper proposes a new non-stationary three-dimensional (3D) channel model for a physical millimeter wave (mm-Wave) multiple-input multiple-output (MIMO) channel. This MIMO channel model is driven by the trajectory of ... -
Wi-Sense: a passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems
Muaaz, Muhammad; Chelli, Ali; Gerdes, Martin; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2021) -
WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition
Muaaz, Muhammad; Chelli, Ali; Pätzold, Matthias Uwe (Journal article; Peer reviewed, 2020) -
WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
Muaaz, Muhammad; Chelli, Ali; Abdelgawwad, Ahmed; Catala Mallofré, Andreu; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2020)