Robust and reliable step counting by mobile phone cameras

Koray Ozcan, Senem Velipasalar

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

11 Scopus citations

Abstract

Wearable sensors are being widely used to monitor daily human activities and vital signs. Accelerometer-based step counters are commonly available, especially after being integrated into smart- phones and smart watches. Moreover, accelerometer data is also used to measure step length and frequency for indoor positioning systems. Yet, accelerometer-based algorithms are prone to over- counting, since they also count other routine movements, including movements of the phone, as steps. In addition, when users walk really slowly, or when they stop and start walking again, the accelerometer-based counting becomes unreliable. Since accurate step detection is very important for indoor positioning systems, more precise alternatives are needed for step detection and counting. In this paper, we present a robust and reliable method for counting foot steps using videos captured with a Samsung Galaxy® S4 smartphone. The performance of the proposed method is com- pared with existing accelerometer-based step counters. Experiments have been performed with different subjects carrying five mobile devices simultaneously, including smart phones and watches, at different locations on their body. The results show that camera-based step counting has the lowest average error rate for different users, and is more reliable compared to accelerometer-based counters. In addition, the results show the high sensitivity of the accelerometer- based step counters to the location of the device and high variance in their performance across different users.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages164-169
Number of pages6
Volume08-11-Sep-2015
ISBN (Print)9781450336819
DOIs
StatePublished - Sep 8 2015
Event9th International Conference on Distributed Smart Cameras, ICDSC 2015 - Seville, Spain
Duration: Sep 8 2015Sep 11 2015

Other

Other9th International Conference on Distributed Smart Cameras, ICDSC 2015
CountrySpain
CitySeville
Period9/8/159/11/15

Keywords

  • Camera
  • Indoor positioning
  • Smartphone
  • Step counter
  • Vision-based

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Ozcan, K., & Velipasalar, S. (2015). Robust and reliable step counting by mobile phone cameras. In ACM International Conference Proceeding Series (Vol. 08-11-Sep-2015, pp. 164-169). Association for Computing Machinery. https://doi.org/10.1145/2789116.2789120