Indoor trajectory reconstruction using mobile devices

Risca Mukti Susanti, Kiki Maulana Adhinugraha, Sultan Alamri, Leonard Barolli, David Taniar

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

Trajectory is the path that is formed because of the moving object positioning history. Based on where it happened, trajectory can be formed in indoor or outdoor environment. While outdoor trajectory can be reconstructed by GPS technology, this technology is not sufficient to be used in indoor environment. However, there are some embedded sensors in mobile devices that can be utilized to track and reconstruct trajectory in indoor environment without utilizing GPS technology. In this paper, we propose the method to track and reconstruct trajectory for indoor environment using embedded mobiles sensors. Our experiment shows that these sensors are capable in tracking and reconstructing indoor trajectories without using any GPS technologies.

Original languageEnglish
Title of host publicationProceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
EditorsLeonard Barolli, Makoto Takizawa, Tomoya Enokido, Marek R. Ogiela, Lidia Ogiela, Nadeem Javaid
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages550-555
Number of pages6
ISBN (Electronic)9781538621950, 9781538621943
ISBN (Print)9781538621943, 9781538621967
DOIs
Publication statusPublished - 2018
EventIEEE International Conference on Advanced Information Networking and Applications 2018
- Krakow, Poland
Duration: 16 May 201818 May 2018
Conference number: 32nd
http://www.aina-conference.org/

Conference

ConferenceIEEE International Conference on Advanced Information Networking and Applications 2018
Abbreviated titleAINA 2018
CountryPoland
CityKrakow
Period16/05/1818/05/18
Internet address

Keywords

  • Accelerometer
  • Indoor space
  • Magnetometer
  • Mobile device
  • Reconstruction
  • Trajectory

Cite this

Mukti Susanti, R., Maulana Adhinugraha, K., Alamri, S., Barolli, L., & Taniar, D. (2018). Indoor trajectory reconstruction using mobile devices. In L. Barolli, M. Takizawa, T. Enokido, M. R. Ogiela, L. Ogiela, & N. Javaid (Eds.), Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018 (pp. 550-555). [8432288] Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/AINA.2018.00086
Mukti Susanti, Risca ; Maulana Adhinugraha, Kiki ; Alamri, Sultan ; Barolli, Leonard ; Taniar, David. / Indoor trajectory reconstruction using mobile devices. Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018. editor / Leonard Barolli ; Makoto Takizawa ; Tomoya Enokido ; Marek R. Ogiela ; Lidia Ogiela ; Nadeem Javaid. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. pp. 550-555
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title = "Indoor trajectory reconstruction using mobile devices",
abstract = "Trajectory is the path that is formed because of the moving object positioning history. Based on where it happened, trajectory can be formed in indoor or outdoor environment. While outdoor trajectory can be reconstructed by GPS technology, this technology is not sufficient to be used in indoor environment. However, there are some embedded sensors in mobile devices that can be utilized to track and reconstruct trajectory in indoor environment without utilizing GPS technology. In this paper, we propose the method to track and reconstruct trajectory for indoor environment using embedded mobiles sensors. Our experiment shows that these sensors are capable in tracking and reconstructing indoor trajectories without using any GPS technologies.",
keywords = "Accelerometer, Indoor space, Magnetometer, Mobile device, Reconstruction, Trajectory",
author = "{Mukti Susanti}, Risca and {Maulana Adhinugraha}, Kiki and Sultan Alamri and Leonard Barolli and David Taniar",
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language = "English",
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booktitle = "Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018",
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Mukti Susanti, R, Maulana Adhinugraha, K, Alamri, S, Barolli, L & Taniar, D 2018, Indoor trajectory reconstruction using mobile devices. in L Barolli, M Takizawa, T Enokido, MR Ogiela, L Ogiela & N Javaid (eds), Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018., 8432288, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 550-555, IEEE International Conference on Advanced Information Networking and Applications 2018
, Krakow, Poland, 16/05/18. https://doi.org/10.1109/AINA.2018.00086

Indoor trajectory reconstruction using mobile devices. / Mukti Susanti, Risca; Maulana Adhinugraha, Kiki; Alamri, Sultan; Barolli, Leonard; Taniar, David.

Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018. ed. / Leonard Barolli; Makoto Takizawa; Tomoya Enokido; Marek R. Ogiela; Lidia Ogiela; Nadeem Javaid. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 550-555 8432288.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

TY - GEN

T1 - Indoor trajectory reconstruction using mobile devices

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AU - Alamri, Sultan

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N2 - Trajectory is the path that is formed because of the moving object positioning history. Based on where it happened, trajectory can be formed in indoor or outdoor environment. While outdoor trajectory can be reconstructed by GPS technology, this technology is not sufficient to be used in indoor environment. However, there are some embedded sensors in mobile devices that can be utilized to track and reconstruct trajectory in indoor environment without utilizing GPS technology. In this paper, we propose the method to track and reconstruct trajectory for indoor environment using embedded mobiles sensors. Our experiment shows that these sensors are capable in tracking and reconstructing indoor trajectories without using any GPS technologies.

AB - Trajectory is the path that is formed because of the moving object positioning history. Based on where it happened, trajectory can be formed in indoor or outdoor environment. While outdoor trajectory can be reconstructed by GPS technology, this technology is not sufficient to be used in indoor environment. However, there are some embedded sensors in mobile devices that can be utilized to track and reconstruct trajectory in indoor environment without utilizing GPS technology. In this paper, we propose the method to track and reconstruct trajectory for indoor environment using embedded mobiles sensors. Our experiment shows that these sensors are capable in tracking and reconstructing indoor trajectories without using any GPS technologies.

KW - Accelerometer

KW - Indoor space

KW - Magnetometer

KW - Mobile device

KW - Reconstruction

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BT - Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018

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Mukti Susanti R, Maulana Adhinugraha K, Alamri S, Barolli L, Taniar D. Indoor trajectory reconstruction using mobile devices. In Barolli L, Takizawa M, Enokido T, Ogiela MR, Ogiela L, Javaid N, editors, Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2018. p. 550-555. 8432288 https://doi.org/10.1109/AINA.2018.00086