A Mobile Motion Capture System Based on Inertial Sensors and Smart Shoes

被引:25
|
作者
Jung, Pyeong-Gook [1 ]
Oh, Sehoon [1 ]
Lim, Gukchan [2 ]
Kong, Kyoungchul [1 ]
机构
[1] Sogang Univ, Dept Mech Engn, Seoul 121742, South Korea
[2] LG Elect, Mobile Handset R&D Ctr, Seoul 153801, South Korea
基金
新加坡国家研究基金会;
关键词
TIME;
D O I
10.1115/1.4025207
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Motion capture systems play an important role in health-care and sport-training systems. In particular, there exists a great demand on a mobile motion capture system that enables people to monitor their health condition and to practice sport postures anywhere at any time. The motion capture systems with infrared or vision cameras, however, require a special setting, which hinders their application to a mobile system. In this paper, a mobile three-dimensional motion capture system is developed based on inertial sensors and smart shoes. Sensor signals are measured and processed by a mobile computer; thus, the proposed system enables the analysis and diagnosis of postures during outdoor sports, as well as indoor activities. The measured signals are transformed into quaternion to avoid the Gimbal lock effect. In order to improve the precision of the proposed motion capture system in an open and outdoor space, a frequency-adaptive sensor fusion method and a kinematic model are utilized to construct the whole body motion in real-time. The reference point is continuously updated by smart shoes that measure the ground reaction forces.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Gesture detection system using smart watch based motion sensors
    Gouthaman, Sumit
    Pandya, Atman
    Karande, Omkar
    Kalbande, D. R.
    2014 INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATION AND INFORMATION TECHNOLOGY APPLICATIONS (CSCITA), 2014, : 311 - 316
  • [32] A mobile low-cost motion capture system based on accelerometers
    Tiesel, Jan-Phillip
    Loviscach, Jorn
    Advances in Visual Computing, Pt 2, 2006, 4292 : 437 - 446
  • [33] The research of motion capture technology based on inertial measurement
    Feng, Bo
    Zhang, Xianggang
    Zhao, Huilong
    2013 IEEE 11TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC), 2013, : 238 - 243
  • [34] A System of Robot Mobile Manipulation Based on Teleoperation with Human Motion Capture
    Wang, Lei
    Zhang, Lei
    Guo, Liang
    Li, Jingqiang
    Wen, Xiaoyan
    Yi, Junyan
    2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2015, : 1503 - 1508
  • [35] Inertial motion capture costume
    Szczesna, Agnieszka
    Pruszowski, Przemyslaw
    Skurowski, Przemyslaw
    Lach, Ewa
    Slupik, Janusz
    Peszor, Damian
    Paszkuta, Marcin
    Polanski, Andrzej
    Wojciechowski, Konrad
    Janiak, Mateusz
    Lebek, Kamil
    BIOSENSORS 2016, 2017, 27 : 139 - 140
  • [36] Measurement of Hand Joint Angle Using Inertial-Based Motion Capture System
    Lu, Chenghong
    Dai, Zeyang
    Jing, Lei
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [37] Research on Motion Capture System of Equestrians Based on Nine-Axis Inertial Sensor
    Cheng, Yang
    Ming, Zhang-Jun
    Chen, Long
    INTERNATIONAL CONFERENCE ON MATHEMATICS, MODELLING AND SIMULATION TECHNOLOGIES AND APPLICATIONS (MMSTA 2017), 2017, 215 : 671 - 674
  • [38] Measurement of Hand Joint Angle Using Inertial-Based Motion Capture System
    Lu, Chenghong
    Dai, Zeyang
    Jing, Lei
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [39] Application of optical motion capture based on multimodal sensors in badminton player motion recognition system
    Zhang, Tiejun
    OPTICAL AND QUANTUM ELECTRONICS, 2024, 56 (02)
  • [40] Quaternion Based Gesture Recognition Using Worn Inertial Sensors in a Motion Tracking System
    Arsenault, Dennis L.
    Whitehead, Anthony D.
    2014 IEEE GAMES, MEDIA, ENTERTAINMENT (GEM), 2014,