Inertial Sensor-Based Motion Tracking in Football with Movement Intensity Quantification

被引:33
|
作者
Wilmes, Erik [1 ]
de Ruiter, Cornelis J. [1 ]
Bastiaansen, Bram J. C. [2 ]
van Zon, Jasper E. J. A. [1 ]
Vegter, Riemer J. K. [2 ]
Brink, Michel S. [2 ]
Goedhart, Edwin A. [3 ]
Lemmink, Koen A. P. M. [2 ]
Savelsbergh, Geert J. P. [1 ]
机构
[1] Vrije Univ Amsterdam, Dept Human Movement Sci, Amsterdam Movement Sci, Fac Behav & Movement Sci, NL-1081 BT Amsterdam, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Ctr Human Movement Sci, NL-9713 AV Groningen, Netherlands
[3] Royal Netherlands Football Assoc, FIFA Med Ctr Excellence, NL-3707 HX Zeist, Netherlands
基金
荷兰研究理事会;
关键词
inertial measurement units; lower body kinematics; soccer; physical load; movement intensity; exercise; AMBULATORY MEASUREMENT; JOINT KINEMATICS; SYSTEM; KNEE; BIOMECHANICS; MECHANICS; SOCCER;
D O I
10.3390/s20092527
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Inertial sensor-based measurements of lower body kinematics in football players may improve physical load estimates during training sessions and matches. However, the validity of inertial-based motion analysis systems is specific to both the type of movement and the intensity at which movements are executed. Importantly, such a system should be relatively simple, so it can easily be used in daily practice. This paper introduces an easy-to-use inertial-based motion analysis system and evaluates its validity using an optoelectronic motion analysis system as a gold standard. The system was validated in 11 football players for six different football specific movements that were executed at low, medium, and maximal intensity. Across all movements and intensities, the root mean square differences (means +/- SD) for knee and hip flexion/extension angles were 5.3 degrees +/- 3.4 degrees and 8.0 degrees +/- 3.5 degrees, respectively, illustrating good validity with the gold standard. In addition, mean absolute flexion/extension angular velocities significantly differed between the three movement intensities. These results show the potential to use the inertial based motion analysis system in football practice to obtain lower body kinematics and to quantify movement intensity, which both may improve currently used physical load estimates of the players.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Inertial Sensor-Based Two Feet Motion Tracking for Gait Analysis
    Hung, Tran Nhat
    Suh, Young Soo
    [J]. SENSORS, 2013, 13 (05) : 5614 - 5629
  • [2] INERTIAL SENSOR-BASED MOTION ANALYSIS SYSTEM OF BRIDGE-STYLE MOVEMENT FOR REHABILITATION TREATMENTS
    Zhang, Guangshuai
    Wang, Chunbao
    Long, Jianjun
    Liu, Quanquan
    Wei, Jianjun
    Duan, Lihong
    Luo, Chengkai
    Zhang, Xin
    Wang, Yulong
    Wang, Guangyi
    Wu, Zhengzhi
    [J]. JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2021, 21 (08)
  • [3] Feasibility of a wearable, sensor-based motion tracking system
    Mohammadzadeh, Farrokh F.
    Liu, Shijing
    Bond, Kyle A.
    Nam, Chang S.
    [J]. 6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015, 2015, 3 : 192 - 199
  • [4] Inertial Sensor Based Solution for Finger Motion Tracking
    Lemak, Stepan
    Chertopolokhov, Viktor
    Uvarov, Ivan
    Kruchinina, Anna
    Belousova, Margarita
    Borodkin, Leonid
    Mironenko, Maxim
    [J]. COMPUTERS, 2020, 9 (02)
  • [5] Inertial sensor-based movement classification with dimension reduction based on feature aggregation
    Sarcevic, Peter
    Csik, Dominik
    Sarosi, Jozsef
    Odry, Akos
    [J]. 2022 IEEE 22ND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS AND 8TH IEEE INTERNATIONAL CONFERENCE ON RECENT ACHIEVEMENTS IN MECHATRONICS, AUTOMATION, COMPUTER SCIENCE AND ROBOTICS (CINTI-MACRO), 2022, : 113 - 118
  • [6] Smartphone Inertial Sensor-Based Indoor Localization and Tracking With iBeacon Corrections
    Chen, Zhenghua
    Zhu, Qingchang
    Soh, Yeng Chai
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 12 (04) : 1540 - 1549
  • [7] Inertial Sensor-Based Motion Analysis of Lower Limbs for Rehabilitation Treatments
    Sun, Tongyang
    Li, Hua
    Liu, Quanquan
    Duan, Lihong
    Li, Meng
    Wang, Chunbao
    Liu, Qihong
    Li, Weiguang
    Shang, Wanfeng
    Wu, Zhengzhi
    Wang, Yulong
    [J]. JOURNAL OF HEALTHCARE ENGINEERING, 2017, 2017
  • [8] Detection of objects with movement analysis in the navigation of sensor-based tracking
    M. Pradeep
    [J]. Multimedia Tools and Applications, 2024, 83 : 44595 - 44638
  • [9] Detection of objects with movement analysis in the navigation of sensor-based tracking
    Pradeep, M.
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (15) : 44595 - 44638
  • [10] Inertial Sensor based System for Upper Limb Motion Quantification
    Dumpis, Martynas
    Gedminas, Dovydas
    Serackis, Arturas
    [J]. 2022 IEEE OPEN CONFERENCE OF ELECTRICAL, ELECTRONIC AND INFORMATION SCIENCES (ESTREAM), 2022,