Cited by 432Context-Aware Activity Recognition SystemsTime Series Analysis and ForecastingGait Recognition and Analysis

Multi-input CNN-GRU based human activity recognition using wearable sensors

Dua, Nidhi, Singh, Shiva Nand, Semwal, Vijay Bhaskar·2021·Computing

Integrity signals

Registry

Crossref · 10.1007/s00607-021-00928-8

Cites

50 of 50 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Dua et al. proposed a CNN combined with GRU model and obtained accuracy of 96.20%, 97.21%, and 95.27% on UCI-HAR, WISDM, and PAMAP2 datasets, respectively.

    “Dua et al. [248] proposed a model with CNN combined with GRU and obtained an accuracy of 96.20%, 97.21%, and 95.27% on UCI-HAR, WISDM [81], and PAMAP2 [91] datasets, respectively.”

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Authors
Dua, N., Singh, S. N., & Semwal, V. B.
Affiliations
  • National Institute of Technology Jamshedpur (IN)
  • Maulana Azad National Institute of Technology (IN)
Corresponding author
Dua, Nidhi
Venue
Computing
Published
2021-03-10
Volume
103
Issue
7
Pages
1461-1478
ISSN
  • 0010-485X (ISSN-L)
  • 1436-5057
OpenAlex
W3133590696
Cited by
432
References
54
Citations by year
2026: 44 · 2025: 82 · 2024: 96 · 2023: 122 · 2022: 70 · 2021: 18
FWCI
27.54
Type
journal article
Language
en
Open access
closed
Locations
Computing (publishedVersion, public-domain)
Funders
Science and Engineering Research Board (ECR/2018/000203)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
  • Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
Keywords
human activity recognition, wearable sensors, CNN-GRU, convolutional neural networks, gated recurrent unit, end-to-end feature extraction, accelerometer, gyroscope, time series classification, UCI-HAR, WISDM, PAMAP2

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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