Conference item
An optimised algorithm for accurate steps counting from smart-phone accelerometry
- Abstract:
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Step counting from smart-phones allows a wide range of applications related to fitness and health. Estimating steps from phones' accelerometers is challenging because of the multitude of ways a smart-phone can be carried. We focus our work on the windowed peak detection algorithm, which has previously been shown to be accurate and efficient and thus suitable for mobile devices. We explore and optimise further the algorithm and its parameters making use of data collected by three volunteers ho...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 920.5KB)
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- Publisher copy:
- 10.1109/EMBC.2018.8513319
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Authors
Funding
NIHR Oxford Biomedical Research Centre
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Journal website
- Pages:
- 4423-4427
- Host title:
- 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publication date:
- 2018-10-29
- Acceptance date:
- 2018-04-18
- DOI:
- ISSN:
-
1558-4615
- Source identifiers:
-
944600
- ISBN:
- 9781538636466
Item Description
- Pubs id:
-
pubs:944600
- UUID:
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uuid:b1b3cf44-8fa6-4866-9408-bb65129340a8
- Local pid:
- pubs:944600
- Deposit date:
- 2018-11-20
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/EMBC.2018.8513319
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