Gait Analysis from Video: Camcorders vs. Kinect

被引:6
|
作者
Hoang Anh Nguyen [1 ]
Meunier, Jean [1 ]
机构
[1] Univ Montreal, Montreal, PQ, Canada
关键词
D O I
10.1007/978-3-319-11755-3_8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Gait analysis is a domain of interest in clinical medical practice, both for neurological and non-neurological abnormal troubles. Marker-based systems are the most favored methods of human motion assessment and gait analysis, however, these systems require specific equipment and expertise and are cumbersome, costly and difficult to use. In this paper we compare two low-cost and marker-less systems that are: (1) A Kinect in front of a treadmill and (2) a set of two camcorders on the sides of the treadmill, used to reconstruct the skeleton of a subject during walk. We validated our method with ground truth data obtained with markers manually placed on the subject's body. Finally, we present an application for asymmetric gait recognition. Our results on different subjects showed that, compared to the Kinect, the two-camcorder approach was very efficient and provided accurate measurements for gait assessment.
引用
收藏
页码:66 / 73
页数:8
相关论文
共 50 条
  • [41] Microsoft Kinect-based gait analysis in multiple sclerosis patients
    Behrens, J. R.
    Otte, K.
    Mansow-Model, S.
    Brandt, A. U.
    Paul, F.
    MULTIPLE SCLEROSIS JOURNAL, 2013, 19 (11) : 263 - 263
  • [42] HOW DYNAMIC IS DYNAMIC WALKING? HUMAN VS. ROBOTIC GAIT
    Mummolo, Carlotta
    Kim, Joo H.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE - 2011, VOL 6, PTS A AND B, 2012, : 1159 - 1165
  • [43] Person Identification Using Anthropometric and Gait Data from Kinect Sensor
    Andersson, Virginia O.
    Araujo, Ricardo M.
    PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, : 425 - 431
  • [44] An analysis of Watson vs. BARD vs. ChatGPT: The Jeopardy! Challenge
    O'Leary, Daniel E.
    AI MAGAZINE, 2023, 44 (03) : 282 - 295
  • [45] YouTube QoE on Mobile Devices: Subjective Analysis of Classical vs. Adaptive Video Streaming
    Seufert, Michael
    Wamser, Florian
    Casas, Pedro
    Irmer, Ralf
    Tran-Gia, Phuoc
    Schatz, Raimund
    2015 INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2015, : 43 - 48
  • [46] Human vs. Machine Learning Based Detection of Facial Weakness Using Video Analysis
    Aldridge, Chad M.
    McDonald, Mark M.
    Wruble, Mattia
    Zhuang, Yan
    Uribe, Omar
    McMurry, Timothy L.
    Lin, Iris
    Pitchford, Haydon
    Schneider, Brett J.
    Dalrymple, William A.
    Carrera, Joseph F.
    Chapman, Sherita
    Worrall, Bradford B.
    Rohde, Gustavo K.
    Southerland, Andrew M.
    FRONTIERS IN NEUROLOGY, 2022, 13
  • [47] Body weight supported treadmill vs. overground gait training for acute stroke gait rehabilitation
    Lura, Derek J.
    Venglar, Mollie C.
    van Duijn, Arie J.
    Csavina, Kristine R.
    INTERNATIONAL JOURNAL OF REHABILITATION RESEARCH, 2019, 42 (03) : 270 - 274
  • [48] Comparing Nape vs. T4 Placement for a Mobile Wireless Gait Analysis Sensor Using the Dynamic Gait Index Test
    Nukala, B.
    Shibuya, N.
    Rodriguez, A.
    Tsay, J.
    Nguyen, T.
    Zupancic, S.
    Lie, D. Y. C.
    2015 EIGHTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU), 2015, : 68 - 69
  • [49] Online Video Business Models: YouTube vs. Hulu
    Artero, Juan P.
    PALABRA CLAVE, 2010, 13 (01) : 111 - 123
  • [50] Video quality vs. mobile data billing plans
    Molnar, Andreea
    TELEMATICS AND INFORMATICS, 2016, 33 (01) : 227 - 231