Cited by 578Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based AnalysisIndoor and Outdoor Localization Technologies

Preprocessing techniques for context recognition from accelerometer data

Figo, Davide, Diniz, Pedro C., Ferreira, Diogo R., Cardoso, João M. P.·2010·Personal and Ubiquitous Computing

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Crossref · 10.1007/s00779-010-0293-9

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65 of 65 references verified0 citation errors · 0 not checkable

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  • Extracting more useful features from the original signal requires sufficient expert knowledge, which inevitably limits a systematic exploration of the feature space.

    “Extracting more useful features from the original signal requires suf cient expert knowledge, which inevitably limits a systematic exploration of the feature space [17].”

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Authors
Figo, D., Diniz, P. C., Ferreira, D. R., & Cardoso, J. M. P.
Affiliations
  • Instituto Superior Técnico (PT)
  • Universidade do Porto (PT)
Corresponding author
Ferreira, Diogo R.
Venue
Personal and Ubiquitous Computing
Published
2010-03-30
Volume
14
Issue
7
Pages
645-662
ISSN
  • 1617-4909 (ISSN-L)
  • 1617-4917
OpenAlex
W2097575504
Cited by
578
References
65
Citations by year
2026: 15 · 2025: 10 · 2024: 21 · 2023: 23 · 2022: 36 · 2021: 55 · 2020: 55 · 2019: 59 · 2018: 65 · 2017: 51 · 2016: 52 · 2015: 45 · 2014: 39 · 2013: 27 · 2012: 14
FWCI
19.31
Type
journal article
Language
en
Open access
closed
Locations
Personal and Ubiquitous Computing (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
Keywords
context recognition, accelerometer data, activity recognition, context-aware services, mobile devices, signal processing, walking and running detection, GPS data, daily routine, preprocessing techniques

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