Faculté des Sciences appliquées
Faculté des Sciences appliquées

Master's Thesis : Imaging radar signal processing for human positioning and behavior classification

Blistein, François ULiège
Promotor(s) : Sacré, Pierre ULiège
Date of defense : 25-Jun-2020/26-Jun-2020 • Permalink :
Title : Master's Thesis : Imaging radar signal processing for human positioning and behavior classification
Translated title : [fr] Traitement de signal de radar imageur pour la localisation d'humains et la classification de leur activité
Author : Blistein, François ULiège
Date of defense  : 25-Jun-2020/26-Jun-2020
Advisor(s) : Sacré, Pierre ULiège
Committee's member(s) : Vanderbemden, Philippe ULiège
Van Droogenbroeck, Marc ULiège
Veriter, Antoine 
Language : English
Number of pages : 80
Discipline(s) : Engineering, computing & technology > Electrical & electronics engineering
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master : ingénieur civil électricien, à finalité spécialisée en "signal processing and intelligent robotics"
Faculty: Master thesis of the Faculté des Sciences appliquées


[fr] This master’s thesis was conducted in conjunction with an internship at BEA, a sensor
manufacturing company headquartered in Liège, Belgium. The BEA group designs and produces
opening and safety sensing solutions for pedestrian and industrial doors.
Nowadays, indoor space monitoring is a key aspect to improve safety and comfort for
users. Surveillance of public spaces and useful data acquisition are subjects of current concern.
Yet such practices do not always comply with data protection and respect for privacy.
Radar signals, however, do not involve identity revealing images. Moreover, machine learning techniques are well suited to radar imaging data exploitation such that the same system can
be used for 3D target imaging and human behavior classification.
The object of this work is to design a human detection and positioning system capable
of classifying between different attitudes and positions. This task is performed by using
a Frequency-Modulated Continuous-Wave (FMCW) imaging radar module, with integrated
antennas on package, manufactured by Texas Instruments. The device is installed indoors,
as an overhead sensor. The radar is operated in Multiple-Input Multiple-Output (MIMO)
mode across the 60 GHz to 64 GHz frequency band and its performance is evaluated.
This work describes the determination of suitable operating parameters for the task. A
signal processing scheme was designed, from raw signal acquisition to 3D re-projection, positioning
and imaging of detected targets, with the addition of speed and power information.
After some data acquisition and labeling campaigns, classification models and a modified
neural network were trained to distinguish between several predetermined human activities,
based on the spatial, velocity and reflected power information.
The system works at different installation heights and effectively detects people in a circular
area of 7m in diameter on the ground. It presents detection rates of 98% for humans
in motion and of 50% to 60% for resting postures. The best class weighted accuracy score
for the behavior classification task is 91% and was obtained by adapting a specific neural
network architecture to five-dimensional data.
The results suggest that the radar module is suited to the task and fulfills its detection,
positioning, imaging and classification roles. One aspect that deserves to be improved is the
detection of micro movements of static people.
Several radar modules may be paired in order to increase detection area, and target
tracking is feasible. The system is expected to generalize well to different setups. Exploiting
temporal information from sequential records may improve classification scores.



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  • Blistein, François ULiège Université de Liège > Master ingé. civ. électr., à fin.


Committee's member(s)

  • Vanderbemden, Philippe ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Capteurs et systèmes de mesures électriques
    ORBi View his publications on ORBi
  • Van Droogenbroeck, Marc ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
    ORBi View his publications on ORBi
  • Veriter, Antoine
  • Total number of views 64
  • Total number of downloads 3

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