Comparing and approximating the data of kinect and 3D motion capture analysis for gait

被引：0
|
作者：
Otomune, H. [1 ,2 ]
Hattori, N. [1 ,2 ,3 ]
Fujimoto, H. [1 ]
Nagasako, M. [1 ]
Yoshioka, T. [1 ]
Hatakenaka, M. [1 ]
Yagura, H. [1 ]
Mihara, M. [2 ,4 ]
Miyai, I. [1 ]
Omori, T. [5 ]
Mochizuki, H. [2 ]
机构：
[1] Morinomiya Hosp, Neurorehabil Res Inst, Osaka, Japan
[2] Osaka Univ, Dept Neurol, Grad Sch Medicie, Osaka, Japan
[3] Osaka Univ, Global Ctr Med Engn & Informat, Endowed Res Dept Clin Neuroengn, Osaka, Japan
[4] Kawasaki Med Sch, Dept Neurol, Okayama, Japan
[5] Tamagawa Univ, Dept Intelligent Mech Syst, Tokyo, Japan
来源：
JOURNAL OF THE NEUROLOGICAL SCIENCES | 2017年 / 381卷
关键词：
D O I：
10.1016/j.jns.2017.08.2343
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
2312
引用
收藏
页码：833 / 833
页数：1
相关论文
共 50 条
  • [1] Gait Recognition from Markerless 3D Motion Capture
    Rainey, James
    Bustard, John
    McLoone, Sean
    [J]. 2019 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB), 2019,
  • [2] Improved 3D Human Motion Capture Using Kinect Skeleton and Depth Sensor
    Bilesan, Alireza
    Komizunai, Shunsuke
    Tsujita, Teppei
    Konno, Atsushi
    [J]. JOURNAL OF ROBOTICS AND MECHATRONICS, 2021, 33 (06) : 1407 - 1421
  • [3] Gait Recognition Based on Marker-less 3D Motion Capture
    Krzeszowski, Tomasz
    Kwolek, Bogdan
    Michalczuk, Agnieszka
    Switonski, Adam
    Josinski, Henryk
    [J]. 2013 10TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS 2013), 2013, : 232 - 237
  • [4] Motion capture for 3D databases -: Overview of methods for motion capture in 3D databases
    Lupinek, Dalibor
    Drahansky, Martin
    [J]. SIGMAP 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS, 2008, : 99 - 104
  • [5] Anaglyph view of Kinect 3D stream capture
    Babaei, Mahdi
    Makhzani, Niloufar
    Onn, Wong Chee
    Peng, Lim Yan
    [J]. 2013 INTERNATIONAL CONFERENCE ON INFORMATICS AND CREATIVE MULTIMEDIA (ICICM), 2013, : 110 - 113
  • [6] Simultaneous identification of human body model parameters and gait trajectory from 3D motion capture data
    Ziegler, Jakob
    Reiter, Alexander
    Gattringer, Hubert
    Mueller, Andreas
    [J]. MEDICAL ENGINEERING & PHYSICS, 2020, 84 : 193 - 202
  • [7] Anomalous Gait Feature Classification From 3-D Motion Capture Data
    Jeon, Suil
    Lee, Kyoung Min
    Koo, Seungbum
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (02) : 696 - 703
  • [8] Building a Gait Analysis Framework for Parkinson's Disease Patients: Motion Capture and Skeleton 3D Representation
    Pachoulakis, Ioannis
    Kourmoulis, Konstantinos
    [J]. 2014 INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND MULTIMEDIA (TEMU), 2014, : 220 - 225
  • [9] The Toronto older adults gait archive: video and 3D inertial motion capture data of older adults' walking
    Mehdizadeh, Sina
    Nabavi, Hoda
    Sabo, Andrea
    Arora, Twinkle
    Iaboni, Andrea
    Taati, Babak
    [J]. SCIENTIFIC DATA, 2022, 9 (01)
  • [10] The Toronto older adults gait archive: video and 3D inertial motion capture data of older adults’ walking
    Sina Mehdizadeh
    Hoda Nabavi
    Andrea Sabo
    Twinkle Arora
    Andrea Iaboni
    Babak Taati
    [J]. Scientific Data, 9
12345