Skip to main content

2018 | OriginalPaper | Buchkapitel

A Smartphone Inertial Sensor Based Recursive Zero-Velocity Detection Approach

verfasst von : Yizhen Wang, Xiangyi Meng, Rui Xu, Xuantong Chen, Lingxiang Zheng, Biyu Tang, Ao Peng, Lulu Yuan, Qi Yang, Haibin Shi, Xiaoyang Ruan, Huiru Zheng

Erschienen in: Frontier Computing

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

A reliable and robust zero velocity points (ZVPs) detection approach is important to restrain the accumulative error in the pedestrian inertial navigation systems. A novel recursive zero-velocity detection (RZVD) approach for smartphone based pedestrian dead reckoning systems is proposed in this paper. It combined the adaptive threshold and context information of the vertical velocity to verify the correctness of ZVP detection and fixed the incorrect ZVPs recursively. The test results show that the performance of the proposed approach is better than original method. It indicates that the proposed approach is helpful to eliminate the serious estimation error caused by false detection of ZVPs.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Abdulrahim, K., Hide, C., Moore, T., Hill, C.: Aiding MEMS IMU with building heading for indoor pedestrian navigation, pp. 1–6 (2010) Abdulrahim, K., Hide, C., Moore, T., Hill, C.: Aiding MEMS IMU with building heading for indoor pedestrian navigation, pp. 1–6 (2010)
2.
Zurück zum Zitat Ayub, S., Zhou, X., Honary, S., Bahraminasab, A., Honary, B.: Sensor placement modes for smartphone based pedestrian dead reckoning. Springer, Netherlands (2012) Ayub, S., Zhou, X., Honary, S., Bahraminasab, A., Honary, B.: Sensor placement modes for smartphone based pedestrian dead reckoning. Springer, Netherlands (2012)
3.
Zurück zum Zitat Lan, K.C., Shih, W.Y.: Early detection of neurological disease using a smartphone: a case study. In: International Conference on Sensing Technology, pp. 461–467 (2015) Lan, K.C., Shih, W.Y.: Early detection of neurological disease using a smartphone: a case study. In: International Conference on Sensing Technology, pp. 461–467 (2015)
4.
Zurück zum Zitat Lan, K.: Using smart-phones and floor plans for indoor location tracking. IEEE Trans. Hum. Mach. Syst. 44(2), 211–221 (2014)CrossRef Lan, K.: Using smart-phones and floor plans for indoor location tracking. IEEE Trans. Hum. Mach. Syst. 44(2), 211–221 (2014)CrossRef
5.
Zurück zum Zitat Mi, L., Guo, M., Zhang, X., Zhang, Y.: An indoor pedestrian positioning system based on inertial measurement unit and wireless local area network. In: Chinese Control Conference, pp. 5419–5424 (2015) Mi, L., Guo, M., Zhang, X., Zhang, Y.: An indoor pedestrian positioning system based on inertial measurement unit and wireless local area network. In: Chinese Control Conference, pp. 5419–5424 (2015)
6.
Zurück zum Zitat Thang, H.M., Viet, V.Q., Thuc, N.D., Choi, D.: Gait identification using accelerometer on mobile phone. In: International Conference on Control, Automation and Information Sciences, pp. 344–348 (2012) Thang, H.M., Viet, V.Q., Thuc, N.D., Choi, D.: Gait identification using accelerometer on mobile phone. In: International Conference on Control, Automation and Information Sciences, pp. 344–348 (2012)
7.
Zurück zum Zitat Xiao-Dong, Z., Ming-Rong, R., Pu, W., Kai, P.: A new zero velocity update algorithm for the shoe-mounted personal navigation system based on IMU. In: Control Conference, pp. 5297–5302 (2015) Xiao-Dong, Z., Ming-Rong, R., Pu, W., Kai, P.: A new zero velocity update algorithm for the shoe-mounted personal navigation system based on IMU. In: Control Conference, pp. 5297–5302 (2015)
8.
Zurück zum Zitat Xu, Z., Wei, J., Zhang, B., Yang, W.: A robust method to detect zero velocity for improved 3D personal navigation using inertial sensors. Sensors 15(4), 7708–7727 (2015)CrossRef Xu, Z., Wei, J., Zhang, B., Yang, W.: A robust method to detect zero velocity for improved 3D personal navigation using inertial sensors. Sensors 15(4), 7708–7727 (2015)CrossRef
9.
Zurück zum Zitat Zheng, L., Wu, Z., Zhou, W., Weng, S., Zheng, H.: A smartphone based hand-held indoor positioning system (2016) Zheng, L., Wu, Z., Zhou, W., Weng, S., Zheng, H.: A smartphone based hand-held indoor positioning system (2016)
10.
Zurück zum Zitat Zheng, L., Zhou, W., Tang, W., Zheng, X.: A foot-mounted sensor based 3D indoor positioning approach. In: IEEE Twelfth International Symposium on Autonomous Decentralized Systems, pp. 145–150 (2015) Zheng, L., Zhou, W., Tang, W., Zheng, X.: A foot-mounted sensor based 3D indoor positioning approach. In: IEEE Twelfth International Symposium on Autonomous Decentralized Systems, pp. 145–150 (2015)
Metadaten
Titel
A Smartphone Inertial Sensor Based Recursive Zero-Velocity Detection Approach
verfasst von
Yizhen Wang
Xiangyi Meng
Rui Xu
Xuantong Chen
Lingxiang Zheng
Biyu Tang
Ao Peng
Lulu Yuan
Qi Yang
Haibin Shi
Xiaoyang Ruan
Huiru Zheng
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7398-4_17

Premium Partner