Advertisement

Development of Smartphone Application for Evaluation of Passenger Comfort

  • Juraj MachajEmail author
  • Peter Brida
  • Ondrej Krejcar
  • Milica Petkovic
  • Quingjiang Shi
Conference paper
  • 214 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1178)

Abstract

Nowadays, smartphones are not utilized for communications only. Smartphones are equipped with a lot of sensors that can be utilized for different purposes. For example, inertial sensors have been used extensively in recent years for measuring and monitoring performance in many different applications. Basically, data from the sensors are utilized for estimation of smartphone orientation. There is a lot of applications which can utilize these data. This paper deals with an algorithm developed for inertial sensors data utilization for vehicle passenger comfort assessment.

Keywords

Inertial sensors Smartphones Passenger comfort Transport systems 

Notes

Acknowledgement

This work has been partially supported by the Slovak VEGA grant agency, Project No. 1/0626/19 “Research of mobile objects localization in IoT environment” and European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734331.

References

  1. 1.
    Bodini, I., Lancini, M., Pasinetti, S., Vetturi, D.: Techniques for on-board vibrational passenger comfort monitoring in public transport. ACTA IMEKO 3(4), 32–37 (2014)CrossRefGoogle Scholar
  2. 2.
    Simonyi, E., Fazekas, Z., Gáspár, P.: Smartphone application for assessing various aspects of urban public transport. Transp. Res. Procedia 3, 185–194 (2014)CrossRefGoogle Scholar
  3. 3.
    Passaro, V., Cuccovillo, A., Vaiani, L., De Carlo, M., Campanella, C.E.: Gyroscope technology and applications: a review in the industrial perspective. Sensors 17(10), 2284 (2017)CrossRefGoogle Scholar
  4. 4.
    Davidson, P.: Algorithms for autonomous personal navigation system. Juvenes Print TTY, Tampere (2013). ISBN: 978-952-15-3174-3Google Scholar
  5. 5.
    Renaudin, V., Combettes, C., Peyret, F.: Quaternion based heading estimation with handheld MEMS in indoor environment. In: IEEE/ION Position, Location and Navigation Symposium, May 2014, pp. 645–656 (2014)Google Scholar
  6. 6.
    Penhaker, M., Geyerova, R., et al.: Weariness and vigilance data mining using mobile platform assessment. In: 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 13–18. IEEE (2016)Google Scholar
  7. 7.
    Bobkowska, K., Inglot, A., Mikusova, M., et al.: Implementation of spatial information for monitoring and analysis of the area around the port using laser scanning techniques. Pol. Marit. Res. 24(1), 10–15 (2017)CrossRefGoogle Scholar
  8. 8.
    Torres-Sospedra, J., Moreira, A.: Analysis of sources of large positioning errors in deterministic fingerprinting. Sensors 17(12), 2736 (2017)CrossRefGoogle Scholar
  9. 9.
    Sevcik, P., Zak, S., Hodon, M.: Wireless sensor network for smart power metering. Concurrency Comput. Pract. Experience 29(23), e4247 (2017)CrossRefGoogle Scholar
  10. 10.
    Racko, J., Brida, P., Perttula, A., Parviainen, J., Collin, J.: Pedestrian dead reckoning with particle filter for handheld smartphone. In: 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–7. IEEE (2016)Google Scholar
  11. 11.
    Jimenez, A.R., Seco, F., Prieto, C., Guevara, J.: A comparison of pedestrian dead-reckoning algorithms using a low-cons MEMS IMU. In: IEEE International Symposium on Intelligent Signal Processing, pp. 37–42 (2009)Google Scholar
  12. 12.
    Corrales, J.A., Candelas, F., Torres, F.: Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman Filter. In: 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 193–200. IEEE (2008)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering and Information Technology, Department of Multimedia and Information-Communication TechnologyUniversity of ZilinaZilinaSlovakia
  2. 2.Center for Basic and Applied Research, Faculty of Informatics and ManagementUniversity of Hradec KraloveHradec KraloveCzech Republic
  3. 3.Faculty of Technical SciencesUniversity of Novi SadNovi SadSerbia
  4. 4.School of Software EngineeringTongji UniversityShanghaiChina

Personalised recommendations