[en] We demonstrate the feasibility of accurately and precisely estimating the left/right average stride length from measured heel/toe accelerations in the gait of healthy, old adults. Our approach relies on (1) a novel method that uses only accelerometer data without the need of additional data from, e.g., gyroscopes and/or magnetometers, and on (2) the validation of the results using reference 3D optoelectronic system data.
Research Center/Unit :
Laboratoire d'Analyse du Mouvement Humain (LAMH) / Signal and Image Exploitation (INTELSIG) - University of Liège, Liège, Belgium
Disciplines :
Electrical & electronics engineering
Author, co-author :
Boutaayamou, Mohamed ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images
Schwartz, Cédric ; Université de Liège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Denoël, Vincent ; Université de Liège > Département ArGEnCo > Analyse sous actions aléatoires en génie civil
Croisier, Jean-Louis ; Université de Liège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Verly, Jacques ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images
Garraux, Gaëtan ; Université de Liège > Département des sciences biomédicales et précliniques > Biochimie et physiologie du système nerveux
Bruls, Olivier ; Université de Liège > Département d'aérospatiale et mécanique > Laboratoire des Systèmes Multicorps et Mécatroniques
Language :
English
Title :
A Novel Accelerometer-Based Method for Stride Length Estimation
Publication date :
14 July 2017
Event name :
IEEE EMBC 2017: 39th Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC’17)
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