Estimating displacement of periodic motion with inertial sensors

被引:53
|
作者
Tan, U-Xuan [1 ]
Veluvolu, Kalyana C. [1 ]
Latt, Win Tun [1 ]
Shee, Cheng Yap [1 ]
Riviere, Cameron N. [2 ]
Ang, Wei Tech [1 ]
机构
[1] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
[2] Carnegie Mellon Univ, Inst Robot, Pittsburgh, PA 15213 USA
关键词
inertial sensors; integration drift; periodic motion estimation;
D O I
10.1109/JSEN.2008.917488
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Inertial sensors, like accelerometers and gyroscopes, are rarely used by themselves to measure displacement. Accuracy of inertial sensors is greatly handicapped by the notorious integration drift, which arises due to numerical integration of the sensors zero bias error. A solution is proposed in this paper to provide drift free estimation of displacement from inertial sensors.
引用
收藏
页码:1385 / 1388
页数:4
相关论文
共 50 条
  • [41] Estimation of Joint Center and Measurement of Finger Motion by Inertial Sensors
    Kitano, Keisuke
    Ito, Akihito
    Tsujiuchi, Nobutaka
    Wakida, Shigeru
    2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2016, : 5668 - 5671
  • [42] A novel motion-reconstruction method for inertial sensors with constraints
    Neurauter, Rene
    Gerstmayr, Johannes
    MULTIBODY SYSTEM DYNAMICS, 2023, 57 (02) : 181 - 209
  • [43] Software Environment for Motion Capture System Based on Inertial Sensors
    Ivanov, Artem V.
    Zhilenkova, Elena A.
    PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS), 2019, : 230 - 234
  • [44] Recognition of Human Motion Pattern Based on MEMS Inertial Sensors
    Liu, Yong-qing
    Hao, Chun-chao
    Wang, Lei
    Gong, Zhi-jun
    2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018), 2018, 307 : 422 - 426
  • [45] Inertial sensors as measurement tools of elbow range of motion in gerontology
    Sacco, G.
    Turpin, J. M.
    Marteu, A.
    Sakarovitch, C.
    Teboul, B.
    Boscher, L.
    Brocker, P.
    Robert, P.
    Guerin, O.
    CLINICAL INTERVENTIONS IN AGING, 2015, 10 : 491 - 497
  • [46] A novel motion-reconstruction method for inertial sensors with constraints
    Rene Neurauter
    Johannes Gerstmayr
    Multibody System Dynamics, 2023, 57 : 181 - 209
  • [47] Flight motion tracking with new configuration of hybrid inertial sensors
    Wang, Xin
    Yan, Jie
    Feng, Dongzhu
    Fan, Yonghua
    Yang, Dongsheng
    ENGINEERING COMPUTATIONS, 2020, 37 (05) : 1683 - 1701
  • [48] Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion
    Mourcou, Quentin
    Fleury, Anthony
    Franco, Celine
    Klopcic, Frederic
    Vuillerme, Nicolas
    SENSORS, 2015, 15 (09) : 23168 - 23187
  • [49] Estimating the orientation of a rigid body moving in space using inertial sensors
    Peng He
    Philippe Cardou
    André Desbiens
    Eric Gagnon
    Multibody System Dynamics, 2015, 35 : 63 - 89
  • [50] Estimating the orientation of a rigid body moving in space using inertial sensors
    He, Peng
    Cardou, Philippe
    Desbiens, Andre
    Gagnon, Eric
    MULTIBODY SYSTEM DYNAMICS, 2015, 35 (01) : 63 - 89