Long-term Performance Evaluation of a Foot-mounted Pedestrian Navigation Device

被引:0
|
作者
Gupta, Amit K. [1 ]
Skog, Isaac [2 ]
Handel, Peter [2 ]
机构
[1] GT Silicon Pvt Ltd, Inertial Elements, Kanpur, Uttar Pradesh, India
[2] KTH Royal Inst Technol, Dept Signal Proc, Stockholm, Sweden
关键词
Foot mounted sensors; indoor navigation; pedestrian dead reckoning; IMU; indoor location based services; IoT;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we present a long term experimental study performed on a foot mounted pedestrian navigation device, the Osmium MIMU22BTP, which is based on the OpenShoe platform. The aim of the study is to investigate the performance that can be expected in mass market applications. Accordingly, we investigate the error characteristics over a large number of tracking devices and their alternative mounting schemes, over several wearers, and over different walking scenarios. By a massive data collection corresponding to more than 150 km of elapsed walking distance over almost 1,000 independent tests, the law of large numbers provides us with illustrative rule-of-thumbs for the tracking performance in realistic use cases. We observe no outlier performance and relative errors less than 4% in 95% of the test-cases, indicating its potential for a variety of indoor Location Based Services (LBS) and IoT applications based on foot-mounted inertial sensing and dead reckoning. The experimental findings are validated with long distance walks.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Pedestrian Navigation Using Foot-Mounted Inertial Sensor and LIDAR
    Pham, Duy Duong
    Suh, Young Soo
    SENSORS, 2016, 16 (01)
  • [2] Data Fusion of Dual Foot-Mounted IMU for Pedestrian Navigation
    Niu, Xiaoji
    Li, Yu
    Kuang, Jian
    Zhang, Peng
    IEEE SENSORS JOURNAL, 2019, 19 (12) : 4577 - 4584
  • [3] Pedestrian Navigation with Foot-Mounted Inertial Sensors in Wearable Body Area Networks
    Zhou, Xuan-cheng
    Chen, Jian-xin
    Dong, Yi
    Lu, Xi-ruo
    Cui, Jing-wu
    Zheng, Bao-yu
    2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014,
  • [4] Studying the Сonsistency of Extended Kalman Filter in Pedestrian Navigation with Foot-Mounted SINS
    Bolotin Y.V.
    Bragin A.V.
    Gulevskii D.V.
    Gyroscopy and Navigation, 2021, 12 (02) : 155 - 165
  • [5] Foot-Mounted Pedestrian Navigation Algorithm Based on BOR/MINS Integrated Framework
    Deng, Zhihong
    Wang, Pengyu
    Liu, Tong
    Cao, Yun
    Wang, Bo
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (05) : 3980 - 3989
  • [6] A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System
    Ren, Mingrong
    Pan, Kai
    Liu, Yanhong
    Guo, Hongyu
    Zhang, Xiaodong
    Wang, Pu
    SENSORS, 2016, 16 (01)
  • [7] Indoor Pedestrian Navigation Using Foot-Mounted IMU and Portable Ultrasound Range Sensors
    Girard, Gabriel
    Cote, Stephane
    Zlatanova, Sisi
    Barette, Yannick
    St-Pierre, Johanne
    van Oosterom, Peter
    SENSORS, 2011, 11 (08) : 7606 - 7624
  • [8] Accurate Pedestrian Indoor Navigation by Tightly Coupling Foot-Mounted IMU and RFID Measurements
    Jimenez Ruiz, Antonio Ramon
    Seco Granja, Fernando
    Prieto Honorato, Jose Carlos
    Guevara Rosas, Jorge I.
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (01) : 178 - 189
  • [9] Pedestrian Indoor Navigation by aiding a Foot-mounted IMU with RFID Signal Strength Measurements
    Jimenez Ruiz, Antonio R.
    Seco Granja, Fernando
    Prieto Honorato, J. Carlos
    Guevara Rosas, Jorge I.
    2010 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION, 2010,
  • [10] Foot-mounted Pedestrian Navigation based on Particle Filter with an Adaptive Weight Updating Strategy
    Gu, Yang
    Song, Qian
    Li, Yanghuan
    Ma, Ming
    JOURNAL OF NAVIGATION, 2015, 68 (01): : 23 - 38