Article (Scientific journals)
GAIMS: A Reliable Non-Intrusive Gait Measuring System
Pierard, Sébastien; Azrour, Samir; PHAN BA, Remy et al.
2013In ERCIM News, 95, p. 26-27
Peer reviewed
 

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Keywords :
Multiple Sclerosis; Gait; Outcome measure; GAIMS; Immersion; Machine learning
Abstract :
[en] Gait observation and analysis can provide invaluable information about an individual [1]. Studies that have interpreted gait using traditional imaging devices have demonstrated that it is difficult to make reliable measurements with colour cameras. GAIMS, our new system resulting from a multidisciplinary project born from collaboration between engineers and neurologists, aims at developing non-intrusive and reliable tools to provide quantitative measures of gait and interpretations of the acquired data. Following a current trend in imaging, it takes advantage of imaging sensors that measure distance instead of colour. While its principles are general, GAIMS is currently used for the diagnosis of multiple sclerosis (MS) and the continued evaluation of disease progression [2]. It is the first available system to fully satisfy the clinical routine and its associated constraints.
Research center :
Intelsig
Disciplines :
Electrical & electronics engineering
Author, co-author :
Pierard, Sébastien ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Azrour, Samir ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
PHAN BA, Remy ;  Centre Hospitalier Universitaire de Liège - CHU > Neurologie Sart Tilman
Van Droogenbroeck, Marc  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Language :
English
Title :
GAIMS: A Reliable Non-Intrusive Gait Measuring System
Publication date :
October 2013
Journal title :
ERCIM News
ISSN :
0926-4981
Publisher :
ERCIM, Sophia-Antipolis, France
Special issue title :
Image Understanding
Volume :
95
Pages :
26-27
Peer reviewed :
Peer reviewed
Name of the research project :
GAIMS
Funders :
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie [BE]
Available on ORBi :
since 25 October 2013

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