Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Most available approaches for step counting rely on accelerometer data, and thus are prone to over-counting. In addition, most existing devices calculate the traveled distance based on the counted number of steps and a preset stride length. We present a robust and autonomous method for counting steps and tracking and calculating stride length by using accelerometer, gravity sensor and camera data from smart phones. To provide higher precision, instead of using a preset step and/or stride length, the proposed method calculates the distance traveled with each step by using the camera data. If camera is tilted significantly, the angle data obtained from the gravity sensor is used to account for camera geometry and increase the precision of the calculated step length. Experiments are performed with different subjects and the proposed method is compared with accelerometer-based step counter apps. The results show that incorporating camera geometry increases the accuracy, and the proposed method provides the lowest average error rate in number of steps taken and the calculated traveled distance.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PublisherIEEE Computer Society
Pages464-468
Number of pages5
Volume2016-August
ISBN (Electronic)9781467399616
DOIs
StatePublished - Aug 3 2016
Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
Duration: Sep 25 2016Sep 28 2016

Other

Other23rd IEEE International Conference on Image Processing, ICIP 2016
CountryUnited States
CityPhoenix
Period9/25/169/28/16

Keywords

  • Indoor navigation
  • Smart phone
  • Step counting

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Lu, Y., & Velipasalar, S. (2016). Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (Vol. 2016-August, pp. 464-468). [7532400] IEEE Computer Society. https://doi.org/10.1109/ICIP.2016.7532400