Human Tracking and Activity Recognition Using Multiple Ceiling-Mounted UWB Radars
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Human Tracking and Activity Recognition Using Multiple Ceiling-Mounted UWB Radars
Master Thesis (2025)
Author(s)
Y. Hong (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Contributor(s)
F. Fioranelli – Mentor (TU Delft - Microwave Sensing, Signals & Systems)
Guido Dolmans – Mentor (IMEC Nederland)
U. Kumbul – Mentor (IMEC Nederland)
A. Asadi – Graduation committee member (TU Delft - Embedded Systems)
Faculty
Electrical Engineering, Mathematics and Computer Science
Human Activity Recognition UWB Radar Indoor Human Localization Smart Office
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Publication Year
2025
Language
English
Graduation Date
26-08-2025
Awarding Institution
Delft University of Technology
Programme
['Electrical Engineering | Embedded Systems']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract
In smart office environments, intelligent control of IoT devices based on human movement and the monitoring of sedentary behavior are crucial. To address object occlusion problem, this thesis proposes an innovative solution: integrating UWB radars into ceiling-mounted office lights, in contrast to conventional wall-mounted setups. The core contribution of this work is the development of an indoor human localization and activity recognition system using ceiling-mounted radars. A novel method is proposed for joint human tracking and activity recognition. The system and the proposed method is validated in a 3.5 m × 6 m office environment with three ceiling-mounted Novelda X4 radars. The experimental results demonstrate high performance: trajectory tracking achieves a root mean square error (RMSE) as low as 0.23 m, representing a 52.6% improvement over the baseline method, while activity classification for walking, standing, and sitting reaches an accuracy of up to 98%. These findings demonstrate the feasibility and effectiveness of ceiling-mounted UWB radars for accurate human tracking and activity recognition in office-like environments.
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