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Inertial sensors for smartphones navigation

Overview of attention for article published in SpringerPlus, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
18 patents

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
46 Mendeley
Title
Inertial sensors for smartphones navigation
Published in
SpringerPlus, December 2015
DOI 10.1186/s40064-015-1572-8
Pubmed ID
Authors

P. Dabove, G. Ghinamo, A. M. Lingua

Abstract

The advent of smartphones and tablets, means that we can constantly get information on our current geographical location. These devices include not only GPS/GNSS chipsets but also mass-market inertial platforms that can be used to plan activities, share locations on social networks, and also to perform positioning in indoor and outdoor scenarios. This paper shows the performance of smartphones and their inertial sensors in terms of gaining information about the user's current geographical locatio n considering an indoor navigation scenario. Tests were carried out to determine the accuracy and precision obtainable with internal and external sensors. In terms of the attitude and drift estimation with an updating interval equal to 1 s, 2D accuracies of about 15 cm were obtained with the images. Residual benefits were also obtained, however, for large intervals, e.g. 2 and 5 s, where the accuracies decreased to 50 cm and 2.2 m, respectively.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Portugal 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Ph. D. Student 5 11%
Student > Master 5 11%
Student > Bachelor 4 9%
Professor > Associate Professor 3 7%
Other 7 15%
Unknown 16 35%
Readers by discipline Count As %
Computer Science 14 30%
Engineering 9 20%
Social Sciences 2 4%
Agricultural and Biological Sciences 1 2%
Chemical Engineering 1 2%
Other 1 2%
Unknown 18 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2023.
All research outputs
#4,791,680
of 23,151,189 outputs
Outputs from SpringerPlus
#305
of 1,855 outputs
Outputs of similar age
#82,555
of 394,737 outputs
Outputs of similar age from SpringerPlus
#23
of 183 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,855 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 394,737 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.