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Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors. / Fischer, Carl; Talkad Sukumar, Poorna; Hazas, Mike.
In: IEEE Pervasive Computing, Vol. 12, No. 2, 04.2013, p. 17-27.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Fischer, C, Talkad Sukumar, P & Hazas, M 2013, 'Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors', IEEE Pervasive Computing, vol. 12, no. 2, pp. 17-27. https://doi.org/10.1109/MPRV.2012.16

APA

Fischer, C., Talkad Sukumar, P., & Hazas, M. (2013). Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors. IEEE Pervasive Computing, 12(2), 17-27. https://doi.org/10.1109/MPRV.2012.16

Vancouver

Fischer C, Talkad Sukumar P, Hazas M. Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors. IEEE Pervasive Computing. 2013 Apr;12(2):17-27. doi: 10.1109/MPRV.2012.16

Author

Fischer, Carl ; Talkad Sukumar, Poorna ; Hazas, Mike. / Tutorial : implementation of a pedestrian tracker using foot-mounted inertial sensors. In: IEEE Pervasive Computing. 2013 ; Vol. 12, No. 2. pp. 17-27.

Bibtex

@article{7e871d498aee4c588934119dcb637e09,
title = "Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors",
abstract = "Wearable inertial sensors are a convenient way to track pedestrians in situations where other localisation systems fail. More and more researchers are using inertial pedestrian tracking as a component in more complex applications. But despite the many publications on the topic, and the increasing availability of inertial sensors, implementing a reasonably accurate tracker can be challenging for researchers without a background in inertial navigation and Kalman filtering. With this article, we aim to provide fellow researchers with a simple yet effectiveimplementation which works out of the box, but with enough clear explanations and references to allow for further investigation if required.We discuss common mistakes and practical aspects, such as parameter tuning and choice of sensors, which we found to be lacking in other work. The Matlab implementation and a few sample recordings are available online at http://eis.comp.lancs.ac.uk/pdr/.",
author = "Carl Fischer and {Talkad Sukumar}, Poorna and Mike Hazas",
note = "Accepted for publication on 2011-12-30. Scheduled publication in the April-June 2013 issue on {"}Tracking and Sensing in the Wild{"}.",
year = "2013",
month = apr,
doi = "10.1109/MPRV.2012.16",
language = "English",
volume = "12",
pages = "17--27",
journal = "IEEE Pervasive Computing",
issn = "1536-1268",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Tutorial

T2 - implementation of a pedestrian tracker using foot-mounted inertial sensors

AU - Fischer, Carl

AU - Talkad Sukumar, Poorna

AU - Hazas, Mike

N1 - Accepted for publication on 2011-12-30. Scheduled publication in the April-June 2013 issue on "Tracking and Sensing in the Wild".

PY - 2013/4

Y1 - 2013/4

N2 - Wearable inertial sensors are a convenient way to track pedestrians in situations where other localisation systems fail. More and more researchers are using inertial pedestrian tracking as a component in more complex applications. But despite the many publications on the topic, and the increasing availability of inertial sensors, implementing a reasonably accurate tracker can be challenging for researchers without a background in inertial navigation and Kalman filtering. With this article, we aim to provide fellow researchers with a simple yet effectiveimplementation which works out of the box, but with enough clear explanations and references to allow for further investigation if required.We discuss common mistakes and practical aspects, such as parameter tuning and choice of sensors, which we found to be lacking in other work. The Matlab implementation and a few sample recordings are available online at http://eis.comp.lancs.ac.uk/pdr/.

AB - Wearable inertial sensors are a convenient way to track pedestrians in situations where other localisation systems fail. More and more researchers are using inertial pedestrian tracking as a component in more complex applications. But despite the many publications on the topic, and the increasing availability of inertial sensors, implementing a reasonably accurate tracker can be challenging for researchers without a background in inertial navigation and Kalman filtering. With this article, we aim to provide fellow researchers with a simple yet effectiveimplementation which works out of the box, but with enough clear explanations and references to allow for further investigation if required.We discuss common mistakes and practical aspects, such as parameter tuning and choice of sensors, which we found to be lacking in other work. The Matlab implementation and a few sample recordings are available online at http://eis.comp.lancs.ac.uk/pdr/.

U2 - 10.1109/MPRV.2012.16

DO - 10.1109/MPRV.2012.16

M3 - Journal article

VL - 12

SP - 17

EP - 27

JO - IEEE Pervasive Computing

JF - IEEE Pervasive Computing

SN - 1536-1268

IS - 2

ER -