Wearable Multi-Sensor Positioning Prototype for Rowing Technique Evaluation

被引:0
|
作者
Mendoza, Luis Rodriguez [1 ]
O'Keefe, Kyle [1 ]
机构
[1] Univ Calgary, Schulich Sch Engn, Geomat Dept, Univ Drive NW 2500, Calgary, AB T2N 1N4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
rowing; ultra-wideband (UWB); GNSS; inertial sensors (IMU); inertial navigation system (INS); wearable technology; FEEDBACK; SYSTEM;
D O I
10.3390/s24165280
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The goal of this study is to determine the feasibility of a wearable multi-sensor positioning prototype to be used as a training tool to evaluate rowing technique and to determine the positioning accuracy using multiple mathematical models and estimation methods. The wearable device consists of an inertial measurement unit (IMU), an ultra-wideband (UWB) transceiver, and a global navigation satellite system (GNSS) receiver. An experiment on a rowing shell was conducted to evaluate the performance of the system on a rower's wrist, against a centimeter-level GNSS reference trajectory. This experiment analyzed the rowing motion in multiple navigation frames and with various positioning methods. The results show that the wearable device prototype is a viable option for rowing technique analysis; the system was able to provide the position, velocity, and attitude of a rower's wrist, with a positioning accuracy ranging between +/- 0.185 m and +/- 1.656 m depending on the estimation method.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] The Concept of Advanced Multi-Sensor Monitoring of Human Stress
    Vavrinsky, Erik
    Stopjakova, Viera
    Kopani, Martin
    Kosnacova, Helena
    SENSORS, 2021, 21 (10)
  • [32] Boresight Calibration of a Multi-Sensor System for UAS Photogrammetry
    Gabrlik, Petr
    12TH INTERNATIONAL CONFERENCE ELEKTRO 2018, 2018,
  • [33] A Survey on Multi-Sensor Fusion Techniques in IoT for Healthcare
    Abdelmoneem, Randa M.
    Shaaban, Eman
    Benslimane, Abderrahim
    PROCEEDINGS OF 2018 13TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND SYSTEMS (ICCES), 2018, : 157 - 162
  • [34] A Multi-Sensor Suspension Robot for Autonomous Detection and Surveillance
    Wang, Chun-Chieh
    Lee, Ting-En
    Hsia, Kuo-Hsien
    Ma, Li-Shan
    Hsieh, Yi-Chun
    DIGITAL MANUFACTURING & AUTOMATION III, PTS 1 AND 2, 2012, 190-191 : 634 - +
  • [35] Multi-Sensor Chip for Monitoring Key Parameters in Bioprocesses
    Rusli, Nurul Izni
    Vincentini, Irene Pia
    Ceyssens, Frederik
    Kraft, Michael
    IEEE SENSORS JOURNAL, 2021, 21 (18) : 19675 - 19683
  • [36] Wireless Multi-Sensor Gas Platform for Environmental Monitoring
    Spirjakin, Denis
    Baranov, Alexander
    Karelin, Alexey
    Somov, Andrey
    2015 IEEE WORKSHOP ON ENVIRONMENTAL, ENERGY AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2015, : 232 - 237
  • [37] TERRESTRIAL MULTI-SENSOR SURVEY: FIELD EXPERIENCES AND REMARKS
    Colombo, Luigi
    Marana, Barbara
    GEOMEDIA, 2014, 18 (03) : 20 - 23
  • [38] An Integrity Monitoring Method for Multi-sensor Collaborative Navigation
    Xiong, Jun
    Cheong, Joon Wayn
    Dempster, Andrew G.
    Xiong, Zhi
    2020 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2020, : 461 - 468
  • [39] A GNSS-enabled multi-sensor for agricultural applications
    Mahato, Somnath
    Rakshit, Partha
    Santra, Atanu
    Dan, Sukabya
    Tiglao, Noriel C.
    Bose, Anindya
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2019, 40 (08): : 1763 - 1772
  • [40] Multi-Sensor Data Fusion Approach for Kinematic Quantities
    D'Arco, Mauro
    Guerritore, Martina
    ENERGIES, 2022, 15 (08)