Individual Mobile Navigation System of Way Counting
DOI:
https://doi.org/10.18372/1990-5548.73.17010Keywords:
pedestrian dead reckoning, autocorrelation function, thresholding, peaks detection, zerocrossing, global routeAbstract
The problem of step counting has been considered for personal navigation while walking and using mobile sensors with low accuracy. Three primary approaches to computing the acceleration vector magnitude in time domain have enabled step counting. When analyzing data from mobile phone sensors for various pedestrian kinds, environmental factors, and their mobility patterns, several methodologies were compared. Except for the approach of normalized auto-correlation based step counting, which only processes short distances, the walking trajectories have been chosen to be long enough (at least 100 meters) to produce statistically representative results. The specifications for a specific step counting system have been developed.
References
M. A. Al-sveity et al., “A system for detecting and recognizing moving biological objects for unmanned vehicles based on intelligent edge computing,” Telecommunication, 2021, no. 9(22). https://doi.org/10.34832/elsv.2021.22.9.004 (date of access: 18.11.2022).
Gepard_vvk., Algorithms for extracting image contours, Habr. https://habr.com/ru/post/114452/ (date of access: 18.11.2022).
Car Number Plate Detection Using MATLAB and Image Processing. Circuit Digest – Electronics Engineering News, Latest Products, Articles and Projects. URL: https://circuitdigest.com/tutorial/vehicle-number-plate-detection-using-matlab-and-image-processing (date of access: 18.11.2022).
Repository BNTU – Repository BNTU. URL: https://rep.bntu.by/bitstream/handle/data/27161/Vosstanovlenie_kontrasta_polutonovogo_izobrazheniya_v_pakete_MATLAB.pdf?sequence=1&isAllowed=y (date of access: 18.11.2022).
M. P. Mukhina, Algorithm of Visual Tracking of Contrast Moving Objects. Of the Third World Congress “Aviation in the XXI-st Century,” 2008.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).