Validation of enhanced kinect sensor based motion capturing for gait assessment

被引:99
|
作者
Mueller, Bjoern [1 ,2 ]
Ilg, Winfried [1 ,2 ]
Giese, Martin A. [1 ,2 ]
Ludolph, Nicolas [1 ,2 ,3 ]
机构
[1] Univ Tubingen, Hertie Inst Clin Brain Res, Sect Computat Sensomotor, Dept Cognit Neurol, Tubingen, Baden Wuerttemb, Germany
[2] Univ Tubingen, Ctr Integrat Neurosci, Tubingen, Baden Wuerttemb, Germany
[3] Int Max Planck Res Sch Cognit & Syst Neurosci, Tubingen, Baden Wuerttemb, Germany
来源
PLOS ONE | 2017年 / 12卷 / 04期
基金
欧盟地平线“2020”;
关键词
XBOX ONE KINECT; MICROSOFT KINECT; CONCURRENT VALIDITY; PARKINSONS-DISEASE; RELIABILITY; BALANCE; ACCURACY; PEOPLE; ATAXIA;
D O I
10.1371/journal.pone.0175813
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Optical motion capturing systems are expensive and require substantial dedicated space to be set up. On the other hand, they provide unsurpassed accuracy and reliability. In many situations however flexibility is required and the motion capturing system can only temporarily be placed. The Microsoft Kinect v2 sensor is comparatively cheap and with respect to gait analysis promising results have been published. We here present a motion capturing system that is easy to set up, flexible with respect to the sensor locations and delivers high accuracy in gait parameters comparable to a gold standard motion capturing system (VICON). Further, we demonstrate that sensor setups which track the person only from one-side are less accurate and should be replaced by two-sided setups. With respect to commonly analyzed gait parameters, especially step width, our system shows higher agreement with the VICON system than previous reports.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Gait recognition using fuzzy ontologies and Kinect sensor data
    Huitzil, Ignacio
    Dranca, Lacramioara
    Bernad, Jorge
    Bobillo, Fernando
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2019, 113 : 354 - 371
  • [32] Obtaining the gait parameters from Kinect sensor for the person identification
    Peterkova, A.
    Stremy, M.
    [J]. INES 2015 - IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, 2015, : 337 - 340
  • [33] Capturing Upper Limb Gross Motor Categories Using the Kinect® Sensor
    Seo, Na Jin
    Crocher, Vincent
    Spaho, Egli
    Ewert, Charles R.
    Fathi, Mojtaba F.
    Hur, Pilwon
    Lum, Sara A.
    Humanitzki, Elizabeth M.
    Kelly, Abigail L.
    Ramakrishnan, Viswanathan
    Woodbury, Michelle L.
    [J]. AMERICAN JOURNAL OF OCCUPATIONAL THERAPY, 2019, 73 (04):
  • [34] Comparison of Azure Kinect overground gait spatiotemporal parameters to marker based optical motion capture
    Guess, Trent M.
    Bliss, Rebecca
    Hall, Jamie B.
    Kiselica, Andrew M.
    [J]. GAIT & POSTURE, 2022, 96 : 130 - 136
  • [35] The development of motion capture system based on Kinect Sensor and Bluetooth-Gloves
    Iliukhin, V. N.
    Mitkovskii, K. B.
    Bizyanova, D. A.
    Akopyan, A. A.
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON DYNAMICS AND VIBROACOUSTICS OF MACHINES (DVM2016), 2017, 176 : 506 - 513
  • [36] Human Factors Assessment Based on the Technology of Human Motion Capturing
    Zhou, Dong
    Guo, Zhiqi
    Wang, Meihui
    Lv, Chuan
    [J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4, 2011, 44-47 : 532 - 536
  • [37] Kinematic-based Knee Angle Correction for Gait Analysis Using Single Kinect Sensor
    Sukumpee, Tamonwan
    Theera-Umpon, Nipon
    Chamnongkich, Samatchai
    Auephanwiriyakul, Sansanee
    [J]. 2018 8TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2018), 2018, : 212 - 216
  • [38] Motion Control of a Mobile Robot using Kinect Sensor
    Tumialan Borja, Jose Antonio
    Bernal Alzate, Efrain
    Marino Lizarazo, Daniel Leonardo
    [J]. 2017 IEEE 3RD COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL (CCAC), 2017,
  • [39] Assessment of range of joint motion using Kinect
    Lin, J. -L.
    Chuan, H. -C.
    Kuan, P. -C
    Ni, S. -M.
    [J]. BRIDGING RESEARCH AND GOOD PRACTICES TOWARDS PATIENT WELFARE: HEALTHCARE SYSTEMS ERGONOMICS AND PATIENT SAFETY 2014, 2015, : 387 - 392
  • [40] Person Identification Using Anthropometric and Gait Data from Kinect Sensor
    Andersson, Virginia O.
    Araujo, Ricardo M.
    [J]. PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, : 425 - 431