caa a22 4500 60615924X CHVBK 20210128100623.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00521-015-1827-x doi (NATIONALLICENCE)springer-10.1007/s00521-015-1827-x Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders [Elektronische Daten] [Aleš Procházka, Oldřich Vyšata, Martin Vališ, Ondřej Ťupa, Martin Schätz, Vladimír Mařík] This paper presents a novel method of gait recognition that uses the image and depth sensors of the Microsoft (MS) Kinect to track the skeleton of a moving body and allows for simple human-machine interaction. While video sequences acquired by complex camera systems enable very precise data analyses and motion detection, much simpler technical devices can be used to analyze video frames with sufficient accuracy in many cases. The experimental part of this paper is devoted to gait data acquisition from 18 individuals with Parkinson's disease and 18 healthy age-matched controls via the proposed MS Kinect graphical user interface. The methods designed for video frame data processing include the selection of gait segments and data filtering for the estimation of chosen gait characteristics. The proposed computational algorithms for the processing of the matrices acquired by the image and depth sensors were then used for spatial modeling of the moving bodies and the estimation of selected gait features. Normalized mean stride lengths were evaluated for the individuals with Parkinson's disease and those in the control group and were determined to be 0.38 and 0.53m, respectively. These mean stride lengths were then used as features for classification. The achieved accuracy was >90%, which suggests the potential of the use of the image and depth sensors of the MS Kinect for these applications. Further potential increases in classification accuracy via additional biosensors and body features are also discussed. The Natural Computing Applications Forum, 2015 Image and depth sensors nationallicence Gait disorders nationallicence Motion features nationallicence MS Kinect nationallicence Video processing nationallicence Parkinson's disease nationallicence Procházka Aleš Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, 166 28, Prague 6, Czech Republic aut Vyšata Oldřich Department of Neurology, Faculty of Medicine in Hradec Králové, Charles University in Prague, 500 05, Hradec Králové, Czech Republic aut Vališ Martin Department of Neurology, Faculty of Medicine in Hradec Králové, Charles University in Prague, 500 05, Hradec Králové, Czech Republic aut Ťupa Ondřej Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, 166 28, Prague 6, Czech Republic aut Schätz Martin Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, 166 28, Prague 6, Czech Republic aut Mařík Vladimír Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, 166 36, Prague 6, Czech Republic aut Neural Computing and Applications Springer London 26/7(2015-10-01), 1621-1629 0941-0643 26:7<1621 2015 26 521 https://doi.org/10.1007/s00521-015-1827-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-015-1827-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Procházka Aleš Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, 166 28, Prague 6, Czech Republic aut NATIONALLICENCE 700 1- Vyšata Oldřich Department of Neurology, Faculty of Medicine in Hradec Králové, Charles University in Prague, 500 05, Hradec Králové, Czech Republic aut NATIONALLICENCE 700 1- Vališ Martin Department of Neurology, Faculty of Medicine in Hradec Králové, Charles University in Prague, 500 05, Hradec Králové, Czech Republic aut NATIONALLICENCE 700 1- Ťupa Ondřej Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, 166 28, Prague 6, Czech Republic aut NATIONALLICENCE 700 1- Schätz Martin Department of Computing and Control Engineering, Institute of Chemical Technology in Prague, 166 28, Prague 6, Czech Republic aut NATIONALLICENCE 700 1- Mařík Vladimír Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, 166 36, Prague 6, Czech Republic aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/7(2015-10-01), 1621-1629 0941-0643 26:7<1621 2015 26 521